Publications

Data Mining

  1. A. Agrawal and A. Choudhary, “Data Science Approaches for Predicting Fatigue Strength of Steels.” 2017. TMS Annual Meeting & Exhibition, Symposium on Advanced High-Strength Steels, Feb. 26 - Mar. 2, San Diego, CA (Abstract). [url] [bib]

    @misc{ACtms17,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Data Science Approaches for Predicting Fatigue Strength of Steels},
      note = {TMS Annual Meeting & Exhibition, Symposium on Advanced High-Strength Steels, Feb. 26 - Mar. 2, San Diego, CA (Abstract)},
      year = {2017}
    }
    
  2. A. Furmanchuk, A. Agrawal, and A. Choudhary, “Data Science Approaches for Predicting Thermoelectric Properties.” 2017. TMS Annual Meeting & Exhibition, Alloys and Compounds for Thermoelectric and Solar Cell Applications V, Feb. 26 - Mar. 2, San Diego, CA (Abstract). [url] [bib]

    @misc{FACtms17,
      author = {Furmanchuk, Al'ona and Agrawal, Ankit and Choudhary, Alok},
      title = {Data Science Approaches for Predicting Thermoelectric Properties},
      note = {TMS Annual Meeting & Exhibition, Alloys and Compounds for Thermoelectric and Solar Cell Applications V, Feb. 26 - Mar. 2, San Diego, CA (Abstract)},
      year = {2017}
    }
    
  3. R. Liu, Y. C. Yabansu, Z. Yang, A. N. Choudhary, S. R. Kalidindi, and A. Agrawal, “Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures,” Integrating Materials and Manufacturing Innovation, pp. 1–12, 2017. [url] [bib]

    @article{LYY17,
      author = {Liu, Ruoqian and Yabansu, Yuksel C. and Yang, Zijiang and Choudhary, Alok N. and Kalidindi, Surya R. and Agrawal, Ankit},
      title = {Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures},
      journal = {Integrating Materials and Manufacturing Innovation},
      year = {2017},
      pages = {1-12}
    }
    
  4. A. Agrawal and A. Choudhary, “Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science.” 2017. 4th World Congress on Integrated Computational Materials Engineering (ICME 2017), May 21–25, 2017, Ypsilanti, Michigan, USA (Abstract). [bib]

    @misc{ACicme17,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science},
      note = {4th World Congress on Integrated Computational Materials Engineering (ICME 2017), May 21–25, 2017, Ypsilanti, Michigan, USA (Abstract)},
      year = {2017}
    }
    
  5. A. Agrawal and A. Choudhary, “Data-Driven Approaches for Predicting Fatigue Strength of Steels.” 2017. Materials Science & Technology 2017, Shaping & Forming of Advanced High Strength Steels II, Oct. 08 - Oct. 12, Pittsburgh, PA, USA (Abstract). [bib]

    @misc{ACmst17a,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Data-Driven Approaches for Predicting Fatigue Strength of Steels},
      note = {Materials Science & Technology 2017, Shaping & Forming of Advanced High Strength Steels II, Oct. 08 - Oct. 12, Pittsburgh, PA, USA (Abstract)},
      year = {2017}
    }
    
  6. A. Agrawal and A. Choudhary, “Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science.” 2017. Materials Science & Technology 2017, Recent Advances in Computer-aided Materials Design, Oct. 08 - Oct. 12, Pittsburgh, PA, USA (Abstract). [bib]

    @misc{ACmst17b,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science},
      note = {Materials Science & Technology 2017, Recent Advances in Computer-aided Materials Design, Oct. 08 - Oct. 12, Pittsburgh, PA, USA (Abstract)},
      year = {2017}
    }
    
  7. Y. Xie, Z. Chen, A. Agrawal, and A. Choudhary, “Distinguish polarity in bag-of-words visualization,” in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017, pp. 3344–3350. [url] [bib]

    @inproceedings{XCA17,
      author = {Xie, Yusheng and Chen, Zhengzhang and Agrawal, Ankit and Choudhary, Alok},
      title = {Distinguish polarity in bag-of-words visualization},
      booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)},
      pages = {3344-3350},
      year = {2017}
    }
    
  8. A. Agrawal and A. Choudhary, “Perspective: Materials informatics and big data: Realization of the ‘fourth paradigm’ of science in materials science,” APL Materials, vol. 4, no. 053208, pp. 1–10, 2016. [url] [bib]

    @article{AC16APLMat,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science},
      journal = {APL Materials},
      year = {2016},
      pages = {1-10},
      volume = {4},
      number = {053208}
    }
    
  9. A. Agrawal and A. Choudhary, “A Fatigue Strength Predictor for Steels Using Ensemble Data Mining,” in Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM) (Demo), 2016, pp. 2497–2500. [url] [bib]

    @inproceedings{AC16cikm,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {A Fatigue Strength Predictor for Steels Using Ensemble Data Mining},
      booktitle = {Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM) (Demo)},
      pages = {2497-2500},
      year = {2016}
    }
    
  10. A. Agrawal and A. Choudhary, “Health Services Data: Big Data Analytics for Deriving Predictive Healthcare Insights,” in Data and Measures in Health Services Research, B. Sobolev, A. Levy, and S. Goring, Eds. Springer US, 2016, pp. 1–17. [url] [bib]

    @inbook{AChsr16,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Health Services Data: Big Data Analytics for Deriving Predictive Healthcare Insights},
      editor = {Sobolev, Boris and Levy, Adrian and Goring, Sarah},
      booktitle = {Data and Measures in Health Services Research},
      publisher = {Springer US},
      year = {2016},
      pages = {1-17}
    }
    
  11. A. Agrawal and A. Choudhary, “Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design.” 2016. TMS Annual Meeting & Exhibition, Symposium of ICME Infrastructure Development for Accelerated Materials Design - Data Repositories, Informatics, and Computational Tools, Feb. 14-18, Nashville, TN (Abstract). [url] [bib]

    @misc{AC16tms,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design},
      note = {TMS Annual Meeting & Exhibition, Symposium of ICME Infrastructure Development for Accelerated Materials Design - Data Repositories, Informatics, and Computational Tools, Feb. 14-18, Nashville, TN (Abstract)},
      year = {2016}
    }
    
  12. A. Agrawal, J. Mathias, D. Baker, and A. Choudhary, “Identifying HotSpots in Five Year Survival Electronic Health Records of Older Adults,” in Proceedings of 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2016, pp. 1–6. [url] [bib]

    @inproceedings{AMB16iccabs,
      author = {Agrawal, Ankit and Mathias, Jason and Baker, David and Choudhary, Alok},
      title = {Identifying HotSpots in Five Year Survival Electronic Health Records of Older Adults},
      booktitle = {Proceedings of 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)},
      pages = {1-6},
      year = {2016}
    }
    
  13. A. Agrawal, J. Mathias, D. Baker, and A. Choudhary, “Five Year Life Expectancy Calculator for Older Adults,” in Proceedings of IEEE International Conference on Data Mining (ICDM) (Demo), 2016, pp. 1280–1283. [url] [bib]

    @inproceedings{AMB16icdm,
      author = {Agrawal, Ankit and Mathias, Jason and Baker, David and Choudhary, Alok},
      title = {Five Year Life Expectancy Calculator for Older Adults},
      booktitle = {Proceedings of IEEE International Conference on Data Mining (ICDM) (Demo)},
      pages = {1280-1283},
      year = {2016}
    }
    
  14. A. Agrawal, B. Meredig, C. Wolverton, and A. Choudhary, “A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining,” in Proceedings of IEEE International Conference on Data Mining (ICDM) (Demo), 2016, pp. 1276–1279. [url] [bib]

    @inproceedings{AMW16icdm,
      author = {Agrawal, Ankit and Meredig, Bryce and Wolverton, Christopher and Choudhary, Alok},
      title = {A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining},
      booktitle = {Proceedings of IEEE International Conference on Data Mining (ICDM) (Demo)},
      pages = {1276-1279},
      year = {2016}
    }
    
  15. R. Al-Bahrani, M. K. Danilovich, A. Agrawal, and A. Choudhary, “Towards Informal Caregiver Identification in Social Media,” in Proceedings of IEEE International Conference on Healthcare Informatics (ICHI) (Poster), 2016, pp. 414–414. [url] [bib]

    @inproceedings{BDA16,
      author = {Al-Bahrani, Reda and Danilovich, Margaret K and Agrawal, Ankit and Choudhary, Alok},
      title = {Towards Informal Caregiver Identification in Social Media},
      booktitle = {Proceedings of IEEE International Conference on Healthcare Informatics (ICHI) (Poster)},
      year = {2016},
      pages = {414-414}
    }
    
  16. Y. Cheng, A. Agrawal, H. Liu, and A. Choudhary, “Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information,” Statistical Analysis and Data Mining: The ASA Data Science Journal, 2016. [url] [bib]

    @article{CAL16,
      author = {Cheng, Yu and Agrawal, Ankit and Liu, Huan and Choudhary, Alok},
      title = {Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information},
      journal = {Statistical Analysis and Data Mining: The ASA Data Science Journal},
      publisher = {Wiley Subscription Services, Inc., A Wiley Company},
      issn = {1932-1872},
      year = {2016}
    }
    
  17. A. Furmanchuk, A. Agrawal, and A. Choudhary, “Predictive analytics for crystalline materials: Bulk modulus,” RSC Advances, vol. 6, no. 97, pp. 95246–95251, 2016. [url] [bib]

    @article{FAC16,
      author = {Furmanchuk, Al'ona and Agrawal, Ankit and Choudhary, Alok},
      title = {Predictive analytics for crystalline materials: Bulk modulus},
      journal = {RSC Advances},
      year = {2016},
      volume = {6},
      number = {97},
      pages = {95246-95251}
    }
    
  18. A. Furmanchuk, A. Agrawal, J. Saal, J. Doak, G. Olson, and A. Choudhary, “Machine Learning for Advancing Discovery of Novel Thermoelectric Materials: ThermoEl.” 2016. 2016 AIChE Annual Meeting, November 13-18, San Francisco, CA (Abstract). [url] [bib]

    @misc{FAS16,
      author = {Furmanchuk, Al'ona and Agrawal, Ankit and Saal, James and Doak, Jeff and Olson, Gregory and Choudhary, Alok},
      title = {Machine Learning for Advancing Discovery of Novel Thermoelectric Materials: ThermoEl},
      note = {2016 AIChE Annual Meeting, November 13-18, San Francisco, CA (Abstract)},
      year = {2016}
    }
    
  19. D. Han, A. Agrawal, W.-keng Liao, and A. Choudhary, “A novel scalable DBSCAN algorithm with Spark,” in Proceedings of 5th IEEE IPDPS Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning), 2016, pp. 1393–1402. [url] [bib]

    @inproceedings{HAL16,
      author = {Han, Dianwei and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {A novel scalable DBSCAN algorithm with Spark},
      booktitle = {Proceedings of 5th IEEE IPDPS Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning)},
      pages = {1393-1402},
      year = {2016}
    }
    
  20. A. Krishna, A. Agrawal, and A. Choudhary, “Predicting the Outcome of Startups: Less Failure, More Success,” in Proceedings of IEEE ICDM Workshop on Data Market for Co-evolution of Sciences and Business (MoDAT), 2016, pp. 798–805. [url] [bib]

    @inproceedings{KAC16,
      author = {Krishna, Amar and Agrawal, Ankit and Choudhary, Alok},
      title = {Predicting the Outcome of Startups: Less Failure, More Success},
      booktitle = {Proceedings of IEEE ICDM Workshop on Data Market for Co-evolution of Sciences and Business (MoDAT)},
      pages = {798-805},
      year = {2016}
    }
    
  21. Q. Kang, W.-keng Liao, A. Agrawal, and A. Choudhary, “A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy,” in Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM), 2016, pp. 2209–2214. [url] [bib]

    @inproceedings{KLA16,
      author = {Kang, Qiao and Liao, Wei-keng and Agrawal, Ankit and Choudhary, Alok},
      title = {A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy},
      booktitle = {Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM)},
      pages = {2209-2214},
      year = {2016}
    }
    
  22. R. Liu, A. Agrawal, W.-keng Liao, M. D. Graef, and A. Choudhary, “Materials Discovery: Understanding Polycrystals from Large-Scale Electron Patterns,” in Proceedings of IEEE BigData Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH), 2016, pp. 2261–2269. [url] [bib]

    @inproceedings{LAL16,
      author = {Liu, Ruoqian and Agrawal, Ankit and Liao, Wei-keng and Graef, Marc De and Choudhary, Alok},
      title = {Materials Discovery: Understanding Polycrystals from Large-Scale Electron Patterns},
      booktitle = {Proceedings of IEEE BigData Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH)},
      pages = {2261-2269},
      year = {2016}
    }
    
  23. S. Lee, W.-keng Liao, A. Agrawal, N. Hardavellas, and A. Choudhary, “Evaluation of K-Means Data Clustering Algorithm on Intel Xeon Phi,” in Proceedings of IEEE BigData Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH), 2016, pp. 2251–2260. [url] [bib]

    @inproceedings{LLA16,
      author = {Lee, Sunwoo and Liao, Wei-keng and Agrawal, Ankit and Hardavellas, Nikos and Choudhary, Alok},
      title = {Evaluation of K-Means Data Clustering Algorithm on Intel Xeon Phi},
      booktitle = {Proceedings of IEEE BigData Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH)},
      pages = {2251-2260},
      year = {2016}
    }
    
  24. R. Liu, D. Palsetia, A. Paul, R. Al-Bahrani, D. Jha, W.-keng Liao, A. Agrawal, and A. Choudhary, “PinterNet: A Thematic Label Curation Tool for Large Image Datasets,” in Proceedings of IEEE BigData Workshop on Open Science in Big Data (OSBD), 2016, pp. 2353–2362. [url] [bib]

    @inproceedings{LPP16,
      author = {Liu, Ruoqian and Palsetia, Diana and Paul, Arindam and Al-Bahrani, Reda and Jha, Dipendra and Liao, Wei-keng and Agrawal, Ankit and Choudhary, Alok},
      title = {PinterNet: A Thematic Label Curation Tool for Large Image Datasets},
      booktitle = {Proceedings of IEEE BigData Workshop on Open Science in Big Data (OSBD)},
      pages = {2353-2362},
      year = {2016}
    }
    
  25. D. Palsetia, W. Hendrix, S. Lee, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication,” in High Performance Computing, 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings, 2016, pp. 98–115. [url] [bib]

    @inproceedings{PHL16,
      author = {Palsetia, Diana and Hendrix, William and Lee, Sunwoo and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication},
      booktitle = {High Performance Computing, 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings},
      pages = {98-115},
      year = {2016}
    }
    
  26. E. Rangel, W. Hendrix, A. Agrawal, W.-keng Liao, and A. Choudhary, “AGORAS: A Fast Algorithm for Estimating Medoids in Large Datasets,” Procedia Computer Science, vol. 80, pp. 1159–1169, 2016. [url] [bib]

    @article{RHA16,
      author = {Rangel, Esteban and Hendrix, William and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {AGORAS: A Fast Algorithm for Estimating Medoids in Large Datasets},
      journal = {Procedia Computer Science},
      year = {2016},
      pages = {1159–1169},
      volume = {80}
    }
    
  27. L. Ward, A. Agrawal, A. Choudhary, and C. Wolverton, “A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials,” npj Computational Materials, vol. 2, no. 16028, 2016. [url] [bib]

    @article{WAC16,
      author = {Ward, Logan and Agrawal, Ankit and Choudhary, Alok and Wolverton, Chris},
      title = {A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials},
      journal = {npj Computational Materials},
      year = {2016},
      volume = {2},
      number = {16028}
    }
    
  28. L. Ward, A. Krishna, R. Liu, V. Hegde, A. Agrawal, A. Choudhary, and C. Wolverton, “A General-Purpose Toolkit for Predicting the Properties of Materials using Machine Learning.” 2016. TMS Annual Meeting & Exhibition, Symposium of Computational Materials Discovery and Optimization - From 2D to Bulk Materials, Feb. 14-18, Nashville, TN (Abstract). [url] [bib]

    @misc{WKL16,
      author = {Ward, Logan and Krishna, Amar and Liu, Rosanne and Hegde, Vinay and Agrawal, Ankit and Choudhary, Alok and Wolverton, Chris},
      title = {A General-Purpose Toolkit for Predicting the Properties of Materials using Machine Learning},
      note = {TMS Annual Meeting & Exhibition, Symposium of Computational Materials Discovery and Optimization - From 2D to Bulk Materials, Feb. 14-18, Nashville, TN (Abstract)},
      year = {2016}
    }
    
  29. Y. Xie, Z. Chen, D. Palsetia, G. Trajcevski, A. Agrawal, and A. Choudhary, “Silverback+: Scalable Association Mining Via Fast List Intersection For Columnar Social Data,” Knowledge and Information Systems (KAIS), pp. 1–29, 2016. [url] [bib]

    @article{XCP16,
      author = {Xie, Yusheng and Chen, Zhengzhang and Palsetia, Diana and Trajcevski, Goce and Agrawal, Ankit and Choudhary, Alok},
      title = {Silverback+: Scalable Association Mining Via Fast List Intersection For Columnar Social Data},
      journal = {Knowledge and Information Systems (KAIS)},
      year = {2016},
      pages = {1-29}
    }
    
  30. Z. Yuan, W. Hendrix, S. W. Son, C. Federrath, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel Implementation of Lossy Data Compression for Temporal Data Sets,” in Proceedings of 23rd Annual International Conference on High Performance Computing, Data, and Analytics (HiPC’16), 2016, pp. 62–71. [url] [bib]

    @inproceedings{YHS16,
      author = {Yuan, Zheng and Hendrix, William and Son, Seung Woo and Federrath, Christoph and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Parallel Implementation of Lossy Data Compression for Temporal Data Sets},
      booktitle = {Proceedings of 23rd Annual International Conference on High Performance Computing, Data, and Analytics (HiPC'16)},
      pages = {62-71},
      year = {2016}
    }
    
  31. A. Agrawal and A. Choudhary, “Software tools for sequence comparison, sequence mapping, and patient-specific healthcare outcome prediction.” 2016. 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Demo). [bib]

    @misc{AC16bcb,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Software tools for sequence comparison, sequence mapping, and patient-specific healthcare outcome prediction},
      note = {7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Demo)},
      year = {2016}
    }
    
  32. R. Al-Bahrani, A. Agrawal, and A. Choudhary, “Colon Cancer Outcome Calculator.” 2016. IEEE International Conference on Healthcare Informatics (ICHI) (Demo). [bib]

    @misc{BAC16,
      author = {Al-Bahrani, Reda and Agrawal, Ankit and Choudhary, Alok},
      title = {Colon Cancer Outcome Calculator},
      note = {IEEE International Conference on Healthcare Informatics (ICHI) (Demo)},
      year = {2016}
    }
    
  33. R. Liu, L. Ward, C. Wolverton, A. Agrawal, W.-K. Liao, and A. Choudhary, “Deep Learning for Chemical Compound Stability Prediction,” in Proceedings of ACM SIGKDD Workshop on Large-scale Deep Learning for Data Mining (DL-KDD), 2016, pp. 1–7. [url] [bib]

    @inproceedings{LWW16,
      author = {Liu, Ruoqian and Ward, Logan and Wolverton, Chris and Agrawal, Ankit and Liao, Wei-Keng and Choudhary, Alok},
      title = {Deep Learning for Chemical Compound Stability Prediction},
      booktitle = {Proceedings of ACM SIGKDD Workshop on Large-scale Deep Learning for Data Mining (DL-KDD)},
      pages = {1-7},
      year = {2016}
    }
    
  34. A. Paul, A. Agrawal, W.-keng Liao, and A. Choudhary, “AnonyMine: Mining anonymous social media posts using psycho-lingual and crowd-sourced dictionaries,” in Proceedings of ACM SIGKDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), 2016. [url] [bib]

    @inproceedings{PAL16,
      author = {Paul, Arindam and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {AnonyMine: Mining anonymous social media posts using psycho-lingual and crowd-sourced dictionaries},
      booktitle = {Proceedings of ACM SIGKDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM)},
      pages = {},
      year = {2016}
    }
    
  35. Y. Cheng, A. Agrawal, H. Liu, and A. Choudhary, “Legislative prediction with dual uncertainty minimization from heterogeneous information,” in Proceedings of the 15th SIAM International Conference on Data Mining (SDM), 2015, pp. 361–369. [url] [bib]

    @inproceedings{CAL15,
      author = {Cheng, Yu and Agrawal, Ankit and Liu, Huan and Choudhary, Alok},
      title = {Legislative prediction with dual uncertainty minimization from heterogeneous information},
      booktitle = {Proceedings of the 15th SIAM International Conference on Data Mining (SDM)},
      pages = {361-369},
      year = {2015}
    }
    
  36. C. Jin, Z. Chen, W. Hendrix, A. Agrawal, and A. Choudhary, “Incremental, Distributed Single-Linkage Hierarchical Clustering Algorithm Using MapReduce,” in Proceedings of the 23rd High Performance Computing Symposium (HPC), 2015, pp. 83–92. [url] [bib]

    @inproceedings{JCH15,
      author = {Jin, Chen and Chen, Zhengzhang and Hendrix, William and Agrawal, Ankit and Choudhary, Alok},
      title = {Incremental, Distributed Single-Linkage Hierarchical Clustering Algorithm Using MapReduce},
      booktitle = {Proceedings of the 23rd High Performance Computing Symposium (HPC)},
      pages = {83-92},
      year = {2015}
    }
    
  37. C. Jin, Q. Fu, H. Wang, W. Hendrix, Z. Chen, A. Agrawal, A. Banerjee, and A. Choudhary, “Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective,” in Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2015, pp. 565–575. [url] [bib]

    @inproceedings{JFW15,
      author = {Jin, Chen and Fu, Qiang and Wang, Huahua and Hendrix, William and Chen, Zhengzhang and Agrawal, Ankit and Banerjee, Arindam and Choudhary, Alok},
      title = {Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective},
      booktitle = {Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)},
      pages = {565-575},
      year = {2015}
    }
    
  38. C. Jin, R. Liu, Z. Chen, W. Hendrix, A. Agrawal, and A. Choudhary, “A Scalable Hierarchical Clustering Algorithm Using Spark,” in Proceedings of IEEE International Conference on Big Data Computing Service and Applications (BigDataService), 2015, pp. 418–426. [url] [bib]

    @inproceedings{JLC15,
      author = {Jin, Chen and Liu, Ruoqian and Chen, Zhengzhang and Hendrix, William and Agrawal, Ankit and Choudhary, Alok},
      title = {A Scalable Hierarchical Clustering Algorithm Using Spark},
      booktitle = {Proceedings of IEEE International Conference on Big Data Computing Service and Applications (BigDataService)},
      pages = {418-426},
      year = {2015}
    }
    
  39. K. Lee, A. Agrawal, and A. Choudhary, “Mining Social Media Streams to Improve Public Health Allergy Surveillance,” in Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2015, pp. 815–822. [url] [bib]

    @inproceedings{LAC15a,
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      title = {Mining Social Media Streams to Improve Public Health Allergy Surveillance},
      booktitle = {Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM)},
      pages = {815-822},
      year = {2015}
    }
    
  40. R. Liu, A. Agrawal, Z. Chen, W.-keng Liao, and A. Choudhary, “Pruned Search: A Machine Learning Based Meta-Heuristic Approach for Constrained Continuous Optimization,” in Proceedings of 8th IEEE International Conference on Contemporary Computing (IC3), 2015, pp. 13–18. [url] [bib]

    @inproceedings{LAC15b,
      author = {Liu, Ruoqian and Agrawal, Ankit and Chen, Zhengzhang and Liao, Wei-keng and Choudhary, Alok},
      title = {Pruned Search: A Machine Learning Based Meta-Heuristic Approach for Constrained Continuous Optimization},
      booktitle = {Proceedings of 8th IEEE International Conference on Contemporary Computing (IC3)},
      pages = {13-18},
      year = {2015}
    }
    
  41. R. Liu, A. Kumar, Z. Chen, A. Agrawal, V. Sundararaghavan, and A. Choudhary, “A Predictive Machine Learning Approach for Microstructure Optimization and Materials Design,” Nature Scientific Reports, vol. 5, no. 11551, 2015. [url] [bib]

    @article{LKC15,
      author = {Liu, Ruoqian and Kumar, Abhishek and Chen, Zhengzhang and Agrawal, Ankit and Sundararaghavan, Veera and Choudhary, Alok},
      title = {A Predictive Machine Learning Approach for Microstructure Optimization and Materials Design},
      journal = {Nature Scientific Reports},
      year = {2015},
      volume = {5},
      number = {11551}
    }
    
  42. R. Liu, Y. C. Yabansu, A. Agrawal, S. R. Kalidindi, and A. N. Choudhary, “Machine learning approaches for elastic localization linkages in high-contrast composite materials,” Integrating Materials and Manufacturing Innovation, vol. 4, no. 13, pp. 1–17, 2015. [url] [bib]

    @article{LYA15,
      author = {Liu, Ruoqian and Yabansu, Yuksel C. and Agrawal, Ankit and Kalidindi, Surya R. and Choudhary, Alok N.},
      title = {Machine learning approaches for elastic localization linkages in high-contrast composite materials},
      journal = {Integrating Materials and Manufacturing Innovation},
      year = {2015},
      pages = {1-17},
      volume = {4},
      number = {13}
    }
    
  43. D. Palsetia, W. Hendrix, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel Distributed-Memory Based Community Detection for Large Graphs.” 2015. DARPA GRAPHS/SIMPLEX Workshop - Data, Algorithms and Problems on Graphs (DAPG), Sep 28, 2015, New York, NY (Poster). [url] [bib]

    @misc{PHA15,
      author = {Palsetia, Diana and Hendrix, William and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Parallel Distributed-Memory Based Community Detection for Large Graphs},
      note = {DARPA GRAPHS/SIMPLEX Workshop - Data, Algorithms and Problems on Graphs (DAPG), Sep 28, 2015, New York, NY (Poster)},
      year = {2015}
    }
    
  44. V. Rastogi and A. Agrawal, “All Your Google and Facebook Logins are Belong to Us: A Case for Single Sign-off,” in Proceedings of 8th IEEE International Conference on Contemporary Computing (IC3), 2015, pp. 416–421. [url] [bib]

    @inproceedings{RA15,
      author = {Rastogi, Vaibhav and Agrawal, Ankit},
      title = {All Your Google and Facebook Logins are Belong to Us: A Case for Single Sign-off},
      booktitle = {Proceedings of 8th IEEE International Conference on Contemporary Computing (IC3)},
      pages = {416-421},
      year = {2015}
    }
    
  45. L. Ward, A. Agrawal, A. Choudhary, and C. Wolverton, “General Machine-Learning-Based Framework for Predicting the Properties of Materials Using Composition.” 2015. MRS Fall Meeting & Exhibit, Symposium CCC - Integrating Experiments, Simulations and Machine Learning to Accelerate Materials Innovation, Nov 29 - Dec 4, Boston, MA (Abstract). [url] [bib]

    @misc{WAC15,
      author = {Ward, Logan and Agrawal, Ankit and Choudhary, Alok and Wolverton, Chris},
      title = {General Machine-Learning-Based Framework for Predicting the Properties of Materials Using Composition},
      note = {MRS Fall Meeting & Exhibit, Symposium CCC - Integrating Experiments, Simulations and Machine Learning to Accelerate Materials Innovation, Nov 29 - Dec 4, Boston, MA (Abstract)},
      year = {2015}
    }
    
  46. Y. Xie, P. Daga, Y. Cheng, K. Zhang, A. Agrawal, and A. Choudhary, “Reducing infrequent-token perplexity via variational corpora,” in Proceedings of the 53rd Annual Meeting of the Association of Computational Linguistics (ACL) and the 7th International Joint Conference on Natural Language Processing, 2015, pp. 609–615. [url] [bib]

    @inproceedings{XDC15,
      author = {Xie, Yusheng and Daga, Pranjal and Cheng, Yu and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok},
      title = {Reducing infrequent-token perplexity via variational corpora},
      booktitle = {Proceedings of the 53rd Annual Meeting of the Association of Computational Linguistics (ACL) and the 7th International Joint Conference on Natural Language Processing},
      pages = {609-615},
      year = {2015}
    }
    
  47. A. Agrawal, P. D. Deshpande, A. Cecen, G. P. Basavarsu, A. N. Choudhary, and S. R. Kalidindi, “Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters,” Integrating Materials and Manufacturing Innovation, vol. 3, no. 8, pp. 1–19, 2014. [url] [bib]

    @article{ADC14,
      author = {Agrawal, Ankit and Deshpande, Parijat D and Cecen, Ahmet and Basavarsu, Gautham P and Choudhary, Alok N and Kalidindi, Surya R},
      title = {Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters},
      journal = {Integrating Materials and Manufacturing Innovation},
      year = {2014},
      pages = {1-19},
      volume = {3},
      number = {8}
    }
    
  48. Y. Cheng, A. Agrawal, H. Liu, and A. Choudhary, “Social Role Identification via Dual Uncertainty Minimization Regularization,” in Proceedings of International Conference on Data Mining (ICDM), 2014, pp. 767–772. [url] [bib]

    @inproceedings{CAL14,
      author = {Cheng, Yu and Agrawal, Ankit and Liu, Huan and Choudhary, Alok},
      title = {Social Role Identification via Dual Uncertainty Minimization Regularization},
      booktitle = {Proceedings of International Conference on Data Mining (ICDM)},
      pages = {767-772},
      year = {2014}
    }
    
  49. Z. Chen, S. W. Son, W. Hendrix, A. Agrawal, W.-keng Liao, and A. Choudhary, “NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing,” in Proceedings of 26th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC’14), 2014, pp. 733–744. [url] [bib]

    @inproceedings{CSH14,
      author = {Chen, Zhengzhang and Son, Seung Woo and Hendrix, William and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing},
      booktitle = {Proceedings of 26th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'14)},
      pages = {733-744},
      year = {2014}
    }
    
  50. A. R. Ganguly, E. Kodra, A. Agrawal, A. Banerjee, S. Boriah, S. Chatterjee, S. Chatterjee, A. Choudhary, D. Das, J. Faghmous, P. Ganguli, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W.-keng Liao, S. Liess, R. Mawalagedara, V. Mithal, R. Oglesby, K. Salvi, P. K. Snyder, K. Steinhaeuser, D. Wang, and D. Wuebbles, “Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques,” Nonlinear Processes in Geophysics, vol. 21, pp. 777–795, 2014. [url] [bib]

    @article{GKA14,
      author = {Ganguly, Auroop R. and Kodra, Evan and Agrawal, Ankit and Banerjee, Arindam and Boriah, Shyam and Chatterjee, Snigdhansu and Chatterjee, Soumyadeep and Choudhary, Alok and Das, Debasish and Faghmous, J and Ganguli, Poulomi and Ghosh, Subimal and Hayhoe, Katharine and Hays, Cindy and Hendrix, William and Fu, Qiang and Kawale, Jaya and Kumar, Devashish and Kumar, Vipin and Liao, Wei-keng and Liess, Stefan and Mawalagedara, Rachindra and Mithal, Varun and Oglesby, Robert and Salvi, Kaustubh and Snyder, Peter K. and Steinhaeuser, Karsten and Wang, Daiwei and Wuebbles, Don},
      title = {Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques},
      journal = {Nonlinear Processes in Geophysics},
      year = {2014},
      volume = {21},
      number = {},
      pages = {777-795}
    }
    
  51. R. Liu, A. Agrawal, W.-keng Liao, and A. Choudhary, “Enhancing Financial Decision-Making Using Social Behavior Modeling,” in Proceedings of 8th KDD Workshop on Social Network Mining and Analysis for Business, Consumer and Social Insights (SNAKDD), 2014, pp. 13:1–13:5. Article No. 13. [url] [bib]

    @inproceedings{LAL14a,
      author = {Liu, Ruoqian and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Enhancing Financial Decision-Making Using Social Behavior Modeling},
      booktitle = {Proceedings of 8th KDD Workshop on Social Network Mining and Analysis for Business, Consumer and Social Insights (SNAKDD)},
      pages = {13:1--13:5},
      year = {2014},
      note = {Article No. 13}
    }
    
  52. R. Liu, A. Agrawal, W.-keng Liao, and A. Choudhary, “Search Space Preprocessing in Solving Complex Optimization Problems,” in Proceedings of IEEE BigData Workshop on Complexity for Big Data (C4BD), 2014, pp. 1–5. [url] [bib]

    @inproceedings{LAL14b,
      author = {Liu, Ruoqian and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Search Space Preprocessing in Solving Complex Optimization Problems},
      booktitle = {Proceedings of IEEE BigData Workshop on Complexity for Big Data (C4BD)},
      pages = {1-5},
      year = {2014}
    }
    
  53. R. Liu, Z. Chen, T. Fast, S. Kalidindi, A. Agrawal, and A. Choudhary, “Predictive Modeling in Characterizing Localization Relationships.” 2014. TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, Feb. 16-20, San Diego, CA (Abstract). [url] [bib]

    @misc{LCF14,
      author = {Liu, R and Chen, Zhengzhang and Fast, Tony and Kalidindi, Surya and Agrawal, Ankit and Choudhary, Alok},
      title = {Predictive Modeling in Characterizing Localization Relationships},
      note = {TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, Feb. 16-20, San Diego, CA (Abstract)},
      year = {2014}
    }
    
  54. R. Liu, A. Kumar, Z. Chen, A. Agrawal, V. Sundararaghavan, and A. Choudhary, “A Data Mining Approach in Structure-Property Optimization.” 2014. TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, Feb. 16-20, San Diego, CA (Abstract). [url] [bib]

    @misc{LKC14,
      author = {Liu, R and Kumar, A and Chen, Zhengzhang and Agrawal, Ankit and Sundararaghavan, V and Choudhary, Alok},
      title = {A Data Mining Approach in Structure-Property Optimization},
      note = {TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, Feb. 16-20, San Diego, CA (Abstract)},
      year = {2014}
    }
    
  55. B. Meredig, A. Agrawal, S. Kirklin, J. E. Saal, J. W. Doak, A. Thompson, K. Zhang, A. Choudhary, and C. Wolverton, “Combinatorial screening for new materials in unconstrained composition space with machine learning,” Physical Review B, vol. 89, no. 094104, pp. 1–7, 2014. BM and AA are co-first authors. [url] [bib]

    @article{MAK14,
      author = {Meredig, Bryce and Agrawal, Ankit and Kirklin, S and Saal, J E and Doak, J W and Thompson, A and Zhang, Kunpeng and Choudhary, Alok and Wolverton, Christopher},
      title = {Combinatorial screening for new materials in unconstrained composition space with machine learning},
      journal = {Physical Review B},
      year = {2014},
      number = {094104},
      volume = {89},
      pages = {1-7},
      note = {**BM and AA are co-first authors**}
    }
    
  56. D. Palsetia, M. M. A. Patwary, A. Agrawal, and A. Choudhary, “Excavating Social Circles via User-Interests,” Social Network Analysis and Mining, vol. 4, no. 1, pp. 1–12, 2014. [url] [bib]

    @article{PPA14,
      author = {Palsetia, Diana and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Choudhary, Alok},
      title = {Excavating Social Circles via User-Interests},
      journal = {Social Network Analysis and Mining},
      year = {2014},
      volume = {4},
      number = {1},
      pages = {1-12}
    }
    
  57. D. Palsetia, M. Patwary, W. Hendrix, A. Agrawal, and A. Choudhary, “Clique Guided Community Detection,” in Proceedings of 2014 IEEE International Conference on Big Data (BigData), 2014, pp. 500–509. [url] [bib]

    @inproceedings{PPH14,
      author = {Palsetia, Diana and Patwary, Mostofa and Hendrix, William and Agrawal, Ankit and Choudhary, Alok},
      title = {Clique Guided Community Detection},
      booktitle = {Proceedings of 2014 IEEE International Conference on Big Data (BigData)},
      pages = {500-509},
      year = {2014}
    }
    
  58. Y. Xie, Y. Cheng, A. Agrawal, and A. Choudhary, “Estimating online user location distribution without GPS location,” in Proceedings of ICDM Workshop on Connecting Online and Offline Social Network Analysis (COOL-SNA), 2014, pp. 936–943. [url] [bib]

    @inproceedings{XCA14,
      author = {Xie, Yusheng and Cheng, Yu and Agrawal, Ankit and Choudhary, Alok},
      title = {Estimating online user location distribution without GPS location},
      booktitle = {Proceedings of ICDM Workshop on Connecting Online and Offline Social Network Analysis (COOL-SNA)},
      pages = {936-943},
      year = {2014}
    }
    
  59. Y. Xie, Z. Chen, D. Palsetia, A. Agrawal, and A. Choudhary, “Indexing Bipartite Memberships in Web Graphs,” in Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM) 2014, 2014, pp. 166–173. [url] [bib]

    @inproceedings{XCP14,
      author = {Xie, Yusheng and Chen, Zhengzhang and Palsetia, Diana and Agrawal, Ankit and Choudhary, Alok},
      title = {Indexing Bipartite Memberships in Web Graphs},
      booktitle = {Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM) 2014},
      pages = {166-173},
      year = {2014}
    }
    
  60. Y. Xie, D. Palsetia, G. Trajcevski, A. Agrawal, and A. Choudhary, “Silverback: Scalable Association Mining For Temporal Data in Columnar Probabilistic Databases,” in Proceedings of 30th IEEE International Conference on Data Engineering (ICDE), Industrial and Applications Track, 2014, pp. 1072–1083. [url] [bib]

    @inproceedings{XPT14,
      author = {Xie, Yusheng and Palsetia, Diana and Trajcevski, Goce and Agrawal, Ankit and Choudhary, Alok},
      title = {Silverback: Scalable Association Mining For Temporal Data in Columnar Probabilistic Databases},
      booktitle = {Proceedings of 30th IEEE International Conference on Data Engineering (ICDE), Industrial and Applications Track},
      pages = {1072-1083},
      year = {2014}
    }
    
  61. A. Agrawal, R. Al-Bahrani, R. Merkow, K. Bilimoria, and A. Choudhary, “Colon Surgery Outcome Prediction Using ACS NSQIP Data,” in Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH), 2013, pp. 1–6. [url] [bib]

    @inproceedings{ABM13,
      author = {Agrawal, Ankit and Al-Bahrani, Reda and Merkow, Ryan and Bilimoria, Karl and Choudhary, Alok},
      title = {Colon Surgery Outcome Prediction Using ACS NSQIP Data},
      booktitle = {Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH)},
      pages = {1-6},
      year = {2013}
    }
    
  62. A. Agrawal, R. Al-Bahrani, J. Raman, M. J. Russo, and A. Choudhary, “Lung Transplant Outcome Prediction using UNOS Data,” in Proceedings of the IEEE Big Data Workshop on Bioinformatics and Health Informatics (BHI), 2013, pp. 1–8. [url] [bib]

    @inproceedings{ABR13,
      author = {Agrawal, Ankit and Al-Bahrani, Reda and Raman, Jaishankar and Russo, Mark J. and Choudhary, Alok},
      title = {Lung Transplant Outcome Prediction using UNOS Data},
      booktitle = {Proceedings of the IEEE Big Data Workshop on Bioinformatics and Health Informatics (BHI)},
      pages = {1-8},
      year = {2013}
    }
    
  63. A. Agrawal and A. Choudhary, “An Analysis of Variation in Hospital Billing Using Medicare Data,” in Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH), 2013, pp. 1–6. [url] [bib]

    @inproceedings{AC13,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {An Analysis of Variation in Hospital Billing Using Medicare Data},
      booktitle = {Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH)},
      pages = {1-6},
      year = {2013}
    }
    
  64. A. Agrawal, M. Patwary, W. Hendrix, W.-keng Liao, and A. Choudhary, “High performance big data clustering,” in Advances in Parallel Computing, Volume 23: Cloud Computing and Big Data, L. Grandinetti, Ed. IOS Press, 2013, pp. 192–211. [url] [bib]

    @inbook{APH13,
      author = {Agrawal, Ankit and Patwary, Mostofa and Hendrix, William and Liao, Wei-keng and Choudhary, Alok},
      title = {High performance big data clustering},
      editor = {Grandinetti, Lucio},
      booktitle = {Advances in Parallel Computing, Volume 23: Cloud Computing and Big Data},
      publisher = {IOS Press},
      year = {2013},
      pages = {192-211}
    }
    
  65. A. Agrawal, J. Raman, M. J. Russo, and A. Choudhary, “Heart Transplant Outcome Prediction using UNOS Data,” in Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH), 2013, pp. 1–6. [url] [bib]

    @inproceedings{ARR13,
      author = {Agrawal, Ankit and Raman, Jaishankar and Russo, Mark J. and Choudhary, Alok},
      title = {Heart Transplant Outcome Prediction using UNOS Data},
      booktitle = {Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH)},
      pages = {1-6},
      year = {2013}
    }
    
  66. R. Al-Bahrani, A. Agrawal, and A. Choudhary, “Colon cancer survival prediction using ensemble data mining on SEER data,” in Proceedings of the IEEE Big Data Workshop on Bioinformatics and Health Informatics (BHI), 2013, pp. 9–16. [url] [bib]

    @inproceedings{BAC13,
      author = {Al-Bahrani, Reda and Agrawal, Ankit and Choudhary, Alok},
      title = {Colon cancer survival prediction using ensemble data mining on SEER data},
      booktitle = {Proceedings of the IEEE Big Data Workshop on Bioinformatics and Health Informatics (BHI)},
      pages = {9-16},
      year = {2013}
    }
    
  67. Y. Cheng, Z. Chen, L. Liu, J. Wang, A. Agrawal, and A. Choudhary, “Feedback-Driven Multiclass Active Learning for Data Streams,” in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013, 2013, pp. 1311–1320. [url] [bib]

    @inproceedings{CCL13,
      author = {Cheng, Yu and Chen, Zhengzhang and Liu, Lu and Wang, Jiang and Agrawal, Ankit and Choudhary, Alok},
      title = {Feedback-Driven Multiclass Active Learning for Data Streams},
      booktitle = {Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013},
      pages = {1311-1320},
      year = {2013}
    }
    
  68. Y. Cheng, Z. Chen, J. Wang, A. Agrawal, and A. Choudhary, “Bootstrapping Active Name Disambiguation with Crowdsourcing,” in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013 (Poster paper), 2013, pp. 1213–1216. [url] [bib]

    @inproceedings{CCW13,
      author = {Cheng, Yu and Chen, Zhengzhang and Wang, Jiang and Agrawal, Ankit and Choudhary, Alok},
      title = {Bootstrapping Active Name Disambiguation with Crowdsourcing},
      booktitle = {Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013 (Poster paper)},
      pages = {1213-1216},
      year = {2013}
    }
    
  69. Z. Chen, R. Liu, A. Agrawal, W.-keng Liao, V. Kumar, F. Semazzi, N. F. Samatova, and A. Choudhary, “EventForecaster: A Framework for Forecasting Extreme Events in Complex Dynamic Systems,” in Proceedings of Third International Workshop on Climate Informatics (CI), Boulder, Colorado, USA, Sep. 26-27, 2013, pp. 1–3. [url] [bib]

    @inproceedings{CLA13,
      author = {Chen, Zhengzhang and Liu, R and Agrawal, Ankit and Liao, Wei-keng and Kumar, Vipin and Semazzi, Fredrick and Samatova, Nagiza F. and Choudhary, Alok},
      title = {EventForecaster: A Framework for Forecasting Extreme Events in Complex Dynamic Systems},
      booktitle = {Proceedings of Third International Workshop on Climate Informatics (CI), Boulder, Colorado, USA, Sep. 26-27},
      pages = {1-3},
      year = {2013}
    }
    
  70. Z. Chen, Y. Xie, Y. Cheng, K. Zhang, A. Agrawal, W.-keng Liao, N. Samatova, and A. Choudhary, “Forecast Oriented Classification of Spatio-Temporal Extreme Events,” in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013, pp. 2952–2954. [url] [bib]

    @inproceedings{CXC13a,
      title = {Forecast Oriented Classification of Spatio-Temporal Extreme Events},
      author = {Chen, Zhengzhang and Xie, Yusheng and Cheng, Yu and Zhang, Kunpeng and Agrawal, Ankit and Liao, Wei-keng and Samatova, Nagiza and Choudhary, Alok},
      booktitle = {Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)},
      pages = {2952-2954},
      year = {2013}
    }
    
  71. Y. Cheng, Y. Xie, Z. Chen, A. Agrawal, A. Choudhary, and S. Guo, “JobMiner: A Real-time System for Mining Job-related Patterns from Social Media,” in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper), 2013, pp. 1450–1453. [url] [bib]

    @inproceedings{CXC13b,
      author = {Cheng, Yu and Xie, Yusheng and Chen, Zhengzhang and Agrawal, Ankit and Choudhary, Alok and Guo, Songtao},
      title = {JobMiner: A Real-time System for Mining Job-related Patterns from Social Media},
      booktitle = {Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper)},
      pages = {1450-1453},
      year = {2013}
    }
    
  72. P. D. Deshpande, B. P. Gautham, A. Cecen, S. Kalidindi, A. Agrawal, and A. Choudhary, “Application of Statistical and Machine Learning Techniques for Correlating Properties to Composition and Manufacturing Processes of Steels.” pp. 155–160, 2013. 2nd World Congress on Integrated Computational Materials Engineering, July 7-11, 2013, Salt Lake City, Utah (Abstract). [url] [bib]

    @misc{DGC13,
      author = {Deshpande, PD and Gautham, BP and Cecen, A and Kalidindi, S and Agrawal, Ankit and Choudhary, A},
      title = {Application of Statistical and Machine Learning Techniques for Correlating Properties to Composition and Manufacturing Processes of Steels},
      year = {2013},
      pages = {155-160},
      note = {2nd World Congress on Integrated Computational Materials Engineering, July 7-11, 2013, Salt Lake City, Utah (Abstract)}
    }
    
  73. K. Gopalakrishnan, A. Agrawal, H. Ceylan, S. Kim, and A. Choudhary, “Knowledge discovery and data mining in pavement inverse analysis,” Transport, vol. 28, no. 1, pp. 1–10, 2013. [url] [bib]

    @article{GAC13,
      title = {Knowledge discovery and data mining in pavement inverse analysis},
      author = {Gopalakrishnan, Kasthurirangan and Agrawal, Ankit and Ceylan, Halil and Kim, Sunghwan and Choudhary, Alok},
      journal = {Transport},
      volume = {28},
      number = {1},
      pages = {1--10},
      year = {2013},
      publisher = {Taylor & Francis Group}
    }
    
  74. W. Hendrix, D. Palsetia, M. M. A. Patwary, A. Agrawal, W.-keng Liao, and A. Choudhary, “A Scalable Algorithm for Single-Linkage Hierarchical Clustering on Distributed Memory Architectures,” in Proceedings of 3rd IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV 2013), Atlanta GA, USA, Oct. 2013, 2013, pp. 7–13. [url] [bib]

    @inproceedings{HPP13,
      author = {Hendrix, William and Palsetia, Diana and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {A Scalable Algorithm for Single-Linkage Hierarchical Clustering on Distributed Memory Architectures},
      booktitle = {Proceedings of 3rd IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV 2013), Atlanta GA, USA, Oct. 2013},
      pages = {7-13},
      year = {2013}
    }
    
  75. C. Jin, Q. Fu, H. Wang, A. Agrawal, W. Hendrix, W.-keng Liao, M. M. A. Patwary, A. Banerjee, and A. Choudhary, “Solving Combinatorial Optimization Problems using Relaxed Linear Programming: A High Performance Computing Perspective,” in Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine), 2013, pp. 39–46. Won the best paper award. [url] [bib]

    @inproceedings{JFW13,
      author = {Jin, Chen and Fu, Qiang and Wang, Huahua and Agrawal, Ankit and Hendrix, William and Liao, Wei-keng and Patwary, Md. Mostofa Ali and Banerjee, Arindam and Choudhary, Alok},
      title = {Solving Combinatorial Optimization Problems using Relaxed Linear Programming: A High Performance Computing Perspective},
      booktitle = {Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine)},
      pages = {39-46},
      year = {2013},
      note = {**Won the best paper award**}
    }
    
  76. C. Jin, M. M. A. Patwary, A. Agrawal, W. Hendrix, W.-keng Liao, and A. Choudhary, “DiSC: A Distributed Single-Linkage Hierarchical Clustering Algorithm using MapReduce,” in Proceedings of the 4th International SC Workshop on Data Intensive Computing in the Clouds (DataCloud) 2013, 2013, pp. 1–6. [url] [bib]

    @inproceedings{JPA13,
      author = {Jin, Chen and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Hendrix, William and Liao, Wei-keng and Choudhary, Alok},
      title = {DiSC: A Distributed Single-Linkage Hierarchical Clustering Algorithm using MapReduce},
      booktitle = {Proceedings of the 4th International SC Workshop on Data Intensive Computing in the Clouds (DataCloud) 2013},
      pages = {1-6},
      year = {2013}
    }
    
  77. K. Lee, A. Agrawal, and A. Choudhary, “Real-Time Digital Flu Surveillance using Twitter Data,” in Proceedings of the SDM Workshop on Data Mining for Medicine and Healthcare (DMMH), 2013, pp. 19–27. [url] [bib]

    @inproceedings{LAC13a,
      title = {Real-Time Digital Flu Surveillance using Twitter Data},
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the SDM Workshop on Data Mining for Medicine and Healthcare (DMMH)},
      pages = {19-27},
      year = {2013}
    }
    
  78. K. Lee, A. Agrawal, and A. Choudhary, “Real-Time Disease Surveillance using Twitter Data: Demonstration on Flu and Cancer,” in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper), 2013, pp. 1474–1477. [url] [bib]

    @inproceedings{LAC13b,
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      title = {Real-Time Disease Surveillance using Twitter Data: Demonstration on Flu and Cancer},
      booktitle = {Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper)},
      pages = {1474-1477},
      year = {2013}
    }
    
  79. L. Liu, J. Tang, Y. Cheng, A. Agrawal, W.-keng Liao, and A. Choudhary, “Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support,” in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013, 2013, pp. 279–288. [url] [bib]

    @inproceedings{LTC13,
      author = {Liu, Lu and Tang, Jie and Cheng, Yu and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support},
      booktitle = {Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013},
      pages = {279-288},
      year = {2013}
    }
    
  80. J. S. Mathias, A. Agrawal, J. Feinglass, A. J. Cooper, D. W. Baker, and A. Choudhary, “Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data,” Journal of the American Medical Informatics Association, vol. 20, pp. e118–e124, 2013. JSM and AA are co-first authors. [url] [bib]

    @article{MAF13,
      title = {Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data},
      author = {Mathias, Jason Scott and Agrawal, Ankit and Feinglass, Joe and Cooper, Andrew J and Baker, David William and Choudhary, Alok},
      journal = {Journal of the American Medical Informatics Association},
      year = {2013},
      volume = {20},
      pages = {e118-e124},
      publisher = {BMJ Publishing Group Ltd},
      note = {**JSM and AA are co-first authors**}
    }
    
  81. M. Patwary, D. Palsetia, A. Agrawal, W.-keng Liao, F. Manne, and A. Choudhary, “Scalable Parallel OPTICS Data Clustering Using Graph Algorithmic Techniques,” in Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC’13), 2013, pp. 1–12. Article No. 49. [url] [bib]

    @inproceedings{PPA13,
      author = {Patwary, Mostofa and Palsetia, Diana and Agrawal, Ankit and Liao, Wei-keng and Manne, Fredrik and Choudhary, Alok},
      title = {Scalable Parallel OPTICS Data Clustering Using Graph Algorithmic Techniques},
      booktitle = {Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'13)},
      year = {2013},
      note = {Article No. 49},
      pages = {1-12}
    }
    
  82. Y. Xie, Z. Chen, A. Agrawal, A. Choudhary, and L. Liu, “Random Walk-based Graphical Sampling in Unbalanced Heterogeneous Bipartite Social Graphs,” in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013 (Poster paper), 2013, pp. 1473–1476. [url] [bib]

    @inproceedings{XCA13a,
      author = {Xie, Yusheng and Chen, Zhengzhang and Agrawal, Ankit and Choudhary, Alok and Liu, Lu},
      title = {Random Walk-based Graphical Sampling in Unbalanced Heterogeneous Bipartite Social Graphs},
      booktitle = {Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013 (Poster paper)},
      pages = {1473-1476},
      year = {2013}
    }
    
  83. Y. Xie, Z. Chen, A. Agrawal, W.-keng Liao, and A. Choudhary, “Caranx: Scalable Social Image Index Using Phylogenetic Tree of Hashtags,” in Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC’13) (Poster paper), 2013, pp. 1–2. [url] [bib]

    @inproceedings{XCA13b,
      author = {Xie, Yusheng and Chen, Zhuoyuan and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Caranx: Scalable Social Image Index Using Phylogenetic Tree of Hashtags},
      booktitle = {Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'13) (Poster paper)},
      pages = {1-2},
      year = {2013}
    }
    
  84. Y. Xie, Z. Chen, Y. Cheng, K. Zhang, A. Agrawal, W.-keng Liao, and A. Choudhary, “Detecting and Tracking Disease Outbreaks by Mining Social Media Data,” in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013, pp. 2958–2960. [url] [bib]

    @inproceedings{XCC13,
      title = {Detecting and Tracking Disease Outbreaks by Mining Social Media Data},
      author = {Xie, Yusheng and Chen, Zhengzhang and Cheng, Yu and Zhang, Kunpeng and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)},
      pages = {2958-2960},
      year = {2013}
    }
    
  85. Y. Xie, Z. Chen, K. Zhang, M. M. A. Patwary, Y. Cheng, H. Liu, A. Agrawal, and A. Choudhary, “Graphical Modeling of Macro Behavioral Targeting in Social Networks,” in Proceedings of the 13th SIAM International Conference on Data Mining (SDM), 2013, pp. 740–748. [url] [bib]

    @inproceedings{XCZ13a,
      title = {Graphical Modeling of Macro Behavioral Targeting in Social Networks},
      author = {Xie, Yusheng and Chen, Zhengzhang and Zhang, Kunpeng and Patwary, Md. Mostofa Ali and Cheng, Yu and Liu, Haotian and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the 13th SIAM International Conference on Data Mining (SDM)},
      pages = {740-748},
      year = {2013}
    }
    
  86. Y. Xie, Z. Chen, K. Zhang, Y. Cheng, D. K. Honbo, A. Agrawal, and A. Choudhary, “MuSES: a Multilingual Sentiment Elicitation System for Social Media Data,” IEEE Intelligent Systems, vol. 99, pp. 1541–1672, 2013. [url] [bib]

    @article{XCZ13b,
      author = {Xie, Yusheng and Chen, Zhengzhang and Zhang, Kunpeng and Cheng, Yu and Honbo, Daniel K. and Agrawal, Ankit and Choudhary, Alok},
      title = {MuSES: a Multilingual Sentiment Elicitation System for Social Media Data},
      journal = {IEEE Intelligent Systems},
      year = {2013},
      pages = {1541-1672},
      volume = {99}
    }
    
  87. Y. Xie, Z. Chen, K. Zhang, Y. Cheng, C. Jin, A. Agrawal, and A. Choudhary, “Elver: Recommending Facebook Pages in Cold Start Situation Without Content Features,” in Proceedings of IEEE International Conference on Big Data (IEEE BigData 2013), 2013, pp. 475–479. [url] [bib]

    @inproceedings{XCZ13c,
      author = {Xie, Yusheng and Chen, Zhengzhang and Zhang, Kunpeng and Cheng, Yu and Jin, Chen and Agrawal, Ankit and Choudhary, Alok},
      title = {Elver: Recommending Facebook Pages in Cold Start Situation Without Content Features},
      booktitle = {Proceedings of IEEE International Conference on Big Data (IEEE BigData 2013)},
      pages = {475-479},
      year = {2013}
    }
    
  88. K. Zhang, D. Downey, Z. Chen, Y. Xie, Y. Cheng, A. Agrawal, W.-keng Liao, and A. Choudhary, “A Probabilistic Graphical Model for Brand Reputation Assessment in Social Networks,” in Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, Aug. 2013, 2013, pp. 223–230. [url] [bib]

    @inproceedings{ZDC13,
      author = {Zhang, Kunpeng and Downey, Doug and Chen, Zhengzhang and Xie, Yusheng and Cheng, Yu and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {A Probabilistic Graphical Model for Brand Reputation Assessment in Social Networks},
      booktitle = {Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, Aug. 2013},
      pages = {223-230},
      year = {2013}
    }
    
  89. A. Agrawal, S. Misra, R. Narayanan, L. Polepeddi, and A. Choudhary, “Lung cancer survival prediction using ensemble data mining on SEER data,” Scientific Programming, vol. 20, no. 1, pp. 29–42, 2012. [url] [bib]

    @article{AMN12,
      title = {Lung cancer survival prediction using ensemble data mining on SEER data},
      author = {Agrawal, Ankit and Misra, Sanchit and Narayanan, Ramanathan and Polepeddi, Lalith and Choudhary, Alok},
      journal = {Scientific Programming},
      volume = {20},
      number = {1},
      pages = {29--42},
      year = {2012},
      publisher = {IOS Press}
    }
    
  90. Y. Cheng, Y. Xie, K. Zhang, A. Agrawal, and A. Choudhary, “CluChunk: clustering large scale user-generated content incorporating chunklet information,” in Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine), 2012, pp. 12–19. [url] [bib]

    @inproceedings{CXZ12a,
      title = {CluChunk: clustering large scale user-generated content incorporating chunklet information},
      author = {Cheng, Yu and Xie, Yusheng and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine)},
      pages = {12--19},
      year = {2012},
      organization = {ACM}
    }
    
  91. Y. Cheng, Y. Xie, K. Zhang, A. Agrawal, and A. Choudhary, “How Online Content is Received by Users in Social Media: A Case Study on Facebook. com Posts,” in Proceedings of the KDD Workshop on Social Media Analytics (SOMA), 2012, pp. 1–8. [url] [bib]

    @inproceedings{CXZ12b,
      title = {How Online Content is Received by Users in Social Media: A Case Study on Facebook. com Posts},
      author = {Cheng, Yu and Xie, Yusheng and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the KDD Workshop on Social Media Analytics (SOMA)},
      pages = {1--8},
      year = {2012}
    }
    
  92. Y. Cheng, K. Zhang, Y. Xie, A. Agrawal, and A. Choudhary, “On active learning in hierarchical classification,” in Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM) (Poster paper), 2012, pp. 2467–2470. [url] [bib]

    @inproceedings{CZX12,
      title = {On active learning in hierarchical classification},
      author = {Cheng, Yu and Zhang, Kunpeng and Xie, Yusheng and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM) (Poster paper)},
      pages = {2467--2470},
      year = {2012},
      organization = {ACM}
    }
    
  93. A. R. Ganguly, E. Kodra, R. Oglesby, L. Buja, A. Agrawal, A. Banerjee, S. Boriah, S. Chatterjee, S. Chatterjee, A. Choudhary, D. Das, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W.-keng Liao, S. Liess, R. Mawalagedara, V. Mithal, H. Najm, K. Salvi, P. K. Snyder, K. Steinhaeuser, and D. Wuebbles, “Exploiting Big Data to Understand Climate Extremes and Assess their Impacts.” 2012. NASA Conference on Intelligent Data Understanding (CIDU), October 24-26, 2012 National Center for Atmospheric Research, Boulder, Colorado (Poster). [bib]

    @misc{GKO12,
      title = {Exploiting Big Data to Understand Climate Extremes and Assess their Impacts},
      author = {Ganguly, Auroop R. and Kodra, Evan and Oglesby, Robert and Buja, Lawrence and Agrawal, Ankit and Banerjee, Arindam and Boriah, Shyam and Chatterjee, Snigdhansu and Chatterjee, Soumyadeep and Choudhary, Alok and Das, Debasish and Ghosh, Subimal and Hayhoe, Katharine and Hays, Cindy and Hendrix, William and Fu, Qiang and Kawale, Jaya and Kumar, Devashish and Kumar, Vipin and Liao, Wei-keng and Liess, Stefan and Mawalagedara, Rachindra and Mithal, Varun and Najm, Habib and Salvi, Kaustubh and Snyder, Peter K. and Steinhaeuser, Karsten and Wuebbles, Don},
      year = {2012},
      note = {NASA Conference on Intelligent Data Understanding (CIDU), October 24-26, 2012 National Center for Atmospheric Research, Boulder, Colorado (Poster)}
    }
    
  94. W. Hendrix, M. M. A. Patwary, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel Hierarchical Clustering on Shared Memory Platforms,” in Proceedings of the 19th International Conference on High Performance Computing (HiPC), 2012, pp. 1–9. [url] [bib]

    @inproceedings{HPA12a,
      title = {Parallel Hierarchical Clustering on Shared Memory Platforms},
      author = {Hendrix, William and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the 19th International Conference on High Performance Computing (HiPC)},
      pages = {1-9},
      year = {2012}
    }
    
  95. J. S. Mathias, A. Agrawal, A. Cooper, J. Feinglass, D. W. Baker, and A. Choudhary, “An EHR-Based Index for 5-Year Life Expectancy in Older Adults.” 2012. 18th Annual National Research Services Award (NRSA) Conference, June 23, 2012, Orlando, FL. (Abstract) JSM and AA are co-first authors. [bib]

    @misc{MAC12,
      title = {An EHR-Based Index for 5-Year Life Expectancy in Older Adults},
      author = {Mathias, Jason S. and Agrawal, Ankit and Cooper, Andrew and Feinglass, Joe and Baker, David W. and Choudhary, Alok},
      year = {2012},
      note = {18th Annual National Research Services Award (NRSA) Conference, June 23, 2012, Orlando, FL. (Abstract) **JSM and AA are co-first authors**}
    }
    
  96. M. Patwary, D. Palsetia, A. Agrawal, W.-keng Liao, F. Manne, and A. Choudhary, “A new scalable parallel DBSCAN algorithm using the disjoint-set data structure,” in ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2012, pp. 1–11. Article No. 62. [url] [bib]

    @inproceedings{PPA12,
      title = {A new scalable parallel DBSCAN algorithm using the disjoint-set data structure},
      author = {Patwary, Mostofa and Palsetia, Diana and Agrawal, Ankit and Liao, Wei-keng and Manne, Fredrik and Choudhary, Alok},
      booktitle = {ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
      pages = {1--11},
      year = {2012},
      note = {Article No. 62},
      organization = {IEEE}
    }
    
  97. D. Palsetia, M. M. A. Patwary, K. Zhang, K. Lee, C. Moran, Y. Xie, D. Honbo, A. Agrawal, W.-keng Liao, and A. Choudhary, “User-Interest based Community Extraction in Social Networks,” in Proceedings of the KDD Workshop on Social Network Mining and Analysis (SNAKDD), 2012, pp. 1–4. [url] [bib]

    @inproceedings{PPZ12,
      title = {User-Interest based Community Extraction in Social Networks},
      author = {Palsetia, Diana and Patwary, Md Mostofa Ali and Zhang, Kunpeng and Lee, Kathy and Moran, Christopher and Xie, Yves and Honbo, Daniel and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the KDD Workshop on Social Network Mining and Analysis (SNAKDD)},
      pages = {1--4},
      year = {2012}
    }
    
  98. Y. Xie, Y. Cheng, D. Honbo, K. Zhang, A. Agrawal, A. Choudhary, Y. Gao, and J. Gou, “Probabilistic macro behavioral targeting,” in Proceedings of the CIKM workshop on Data-driven user behavioral modelling and mining from social media (DUBMMSM), 2012, pp. 7–10. [url] [bib]

    @inproceedings{XCH12a,
      title = {Probabilistic macro behavioral targeting},
      author = {Xie, Yusheng and Cheng, Yu and Honbo, Daniel and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok and Gao, Yi and Gou, Jiangtao},
      booktitle = {Proceedings of the CIKM workshop on Data-driven user behavioral modelling and mining from social media (DUBMMSM)},
      pages = {7--10},
      year = {2012},
      organization = {ACM}
    }
    
  99. Y. Xie, Y. Cheng, D. Honbo, K. Zhang, A. Agrawal, and A. Choudhary, “Crowdsourcing recommendations from social sentiment,” in Proceedings of KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), 2012, pp. 9:1–9:8. [url] [bib]

    @inproceedings{XCH12b,
      title = {Crowdsourcing recommendations from social sentiment},
      author = {Xie, Yusheng and Cheng, Yu and Honbo, Daniel and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM)},
      pages = {9:1-9:8},
      year = {2012},
      organization = {ACM}
    }
    
  100. Y. Xie, D. Honbo, A. Choudhary, K. Zhang, Y. Cheng, and A. Agrawal, “VOXSUP: a social engagement framework,” in Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper), 2012, pp. 1556–1559. [url] [bib]

    @inproceedings{XHC12,
      title = {VOXSUP: a social engagement framework},
      author = {Xie, Yusheng and Honbo, Daniel and Choudhary, Alok and Zhang, Kunpeng and Cheng, Yu and Agrawal, Ankit},
      booktitle = {Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper)},
      pages = {1556--1559},
      year = {2012},
      organization = {ACM}
    }
    
  101. K. Zhang, Y. Xie, Y. Cheng, D. Honbo, D. Downey, A. Agrawal, W.-keng Liao, and A. Choudhary, “Sentiment identification by incorporating syntax, semantics and context information,” in Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (Poster paper), 2012, pp. 1143–1144. [url] [bib]

    @inproceedings{ZXC12,
      title = {Sentiment identification by incorporating syntax, semantics and context information},
      author = {Zhang, Kunpeng and Xie, Yusheng and Cheng, Yu and Honbo, Daniel and Downey, Doug and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (Poster paper)},
      pages = {1143--1144},
      year = {2012},
      organization = {ACM}
    }
    
  102. A. Agrawal and A. Choudhary, “Identifying HotSpots in Lung Cancer Data Using Association Rule Mining,” in 2nd IEEE ICDM Workshop on Biological Data Mining and its Applications in Healthcare (BioDM), 2011, pp. 995–1002. [url] [bib]

    @inproceedings{AC11a,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Identifying HotSpots in Lung Cancer Data Using Association Rule Mining},
      year = {2011},
      booktitle = {2nd IEEE ICDM Workshop on Biological Data Mining and its Applications in Healthcare (BioDM)},
      pages = {995--1002}
    }
    
  103. A. Agrawal and A. Choudhary, “Association Rule Mining Based HotSpot Analysis on SEER Lung Cancer Data,” International Journal of Knowledge Discovery in Bioinformatics (IJKDB), vol. 2, no. 2, pp. 34–54, 2011. [url] [bib]

    @article{AC11b,
      title = {Association Rule Mining Based HotSpot Analysis on SEER Lung Cancer Data},
      author = {Agrawal, Ankit and Choudhary, Alok},
      journal = {International Journal of Knowledge Discovery in Bioinformatics (IJKDB)},
      volume = {2},
      number = {2},
      pages = {34--54},
      year = {2011},
      publisher = {IGI Global}
    }
    
  104. A. Agrawal, S. Misra, A. Choudhary, and K. Bilimoria, “Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery.” IEEE, pp. 232–232, 2011. Proc. of IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). [url] [bib]

    @misc{AMC11,
      title = {Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery},
      author = {Agrawal, Ankit and Misra, Sanchit and Choudhary, Alok and Bilimoria, Karl},
      note = {Proc. of IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)},
      pages = {232--232},
      year = {2011},
      organization = {IEEE}
    }
    
  105. A. Agrawal, S. Misra, R. Narayanan, L. Polepeddi, and A. Choudhary, “Poster: A lung cancer mortality risk calculator based on SEER data,” in Proc. of IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2011, pp. 233–233. [url] [bib]

    @inproceedings{AMN11a,
      author = {Agrawal, Ankit and Misra, Sanchit and Narayanan, Ramanathan and Polepeddi, Lalith and Choudhary, Alok},
      title = {Poster: A lung cancer mortality risk calculator based on SEER data},
      booktitle = {Proc. of IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)},
      pages = {233-233},
      year = {2011}
    }
    
  106. A. Agrawal, S. Misra, R. Narayanan, L. Polepeddi, and A. Choudhary, “A lung cancer outcome calculator using ensemble data mining on SEER data,” in Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics (BIOKDD), New York, NY, USA, 2011, pp. 1–9. [url] [bib]

    @inproceedings{AMN11b,
      author = {Agrawal, Ankit and Misra, Sanchit and Narayanan, Ramanathan and Polepeddi, Lalith and Choudhary, Alok},
      title = {A lung cancer outcome calculator using ensemble data mining on SEER data},
      booktitle = {Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics (BIOKDD)},
      year = {2011},
      isbn = {978-1-4503-0839-7},
      location = {San Diego, California},
      pages = {1--9},
      articleno = {5},
      numpages = {9},
      publisher = {ACM},
      address = {New York, NY, USA}
    }
    
  107. Y. Cheng, K. Zhang, Y. Xie, A. Agrawal, W.-keng Liao, and A. Choudhary, “Learning to Group Web Text Incorporating Prior Information,” in 6th IEEE ICDM Workshop on Optimization Based Techniques for Emerging Data Mining Problems, (OEDM), 2011, pp. 212–219. [url] [bib]

    @inproceedings{CZX11,
      author = {Cheng, Yu and Zhang, Kunpeng and Xie, Yusheng and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Learning to Group Web Text Incorporating Prior Information},
      year = {2011},
      booktitle = {6th IEEE ICDM Workshop on Optimization Based Techniques for Emerging Data Mining Problems, (OEDM)},
      pages = {212--219}
    }
    
  108. W. Hendrix, I. Tetteh, A. Agrawal, F. Semazzi, W.-keng Liao, and A. Choudhary, “Community Dynamics and Analysis of Decadal Trends in Climate Data,” in 3rd IEEE ICDM Workshop on Knowledge Discovery from Climate Data, (ClimKD), 2011, pp. 9–14. [url] [bib]

    @inproceedings{HTA11,
      author = {Hendrix, William and Tetteh, Isaac and Agrawal, Ankit and Semazzi, Fredrick and Liao, Wei-keng and Choudhary, Alok},
      title = {Community Dynamics and Analysis of Decadal Trends in Climate Data},
      year = {2011},
      booktitle = {3rd IEEE ICDM Workshop on Knowledge Discovery from Climate Data, (ClimKD)},
      pages = {9--14}
    }
    
  109. K. Lee, D. Palsetia, R. Narayanan, M. Patwary, A. Agrawal, and A. Choudhary, “Twitter Trending Topic Classification,” in 6th IEEE ICDM Workshop on Optimization Based Techniques for Emerging Data Mining Problems, (OEDM), 2011, pp. 251–258. [url] [bib]

    @inproceedings{LPN11,
      author = {Lee, Kathy and Palsetia, Diana and Narayanan, Ramanathan and Patwary, Mostofa and Agrawal, Ankit and Choudhary, Alok},
      title = {Twitter Trending Topic Classification},
      year = {2011},
      booktitle = {6th IEEE ICDM Workshop on Optimization Based Techniques for Emerging Data Mining Problems, (OEDM)},
      pages = {251--258}
    }
    
  110. N. Nakka, A. Agrawal, and A. N. Choudhary, “Predicting Node Failure in High Performance Computing Systems from Failure and Usage Logs,” in IEEE International Symposium on Parallel and Distributed Processing Symposium (IPDPS) Workshops, 2011, pp. 1557–1566. [url] [bib]

    @inproceedings{NAC11,
      author = {Nakka, Nithin and Agrawal, Ankit and Choudhary, Alok N.},
      booktitle = {IEEE International Symposium on Parallel and Distributed Processing Symposium (IPDPS) Workshops},
      pages = {1557-1566},
      publisher = {IEEE},
      title = {Predicting Node Failure in High Performance Computing Systems from Failure and Usage Logs},
      year = {2011}
    }
    
  111. L. Polepeddi, A. Agrawal, and A. Choudhary, “Poll: A Citation-Text-Based System for Identifying High-Impact Contributions of an Article,” in IEEE ICDM Workshop on Data Mining in Networks, (DaMNet), 2011, pp. 965–968. [url] [bib]

    @inproceedings{PAC11,
      author = {Polepeddi, Lalith and Agrawal, Ankit and Choudhary, Alok},
      title = {Poll: A Citation-Text-Based System for Identifying High-Impact Contributions of an Article},
      year = {2011},
      booktitle = {IEEE ICDM Workshop on Data Mining in Networks, (DaMNet)},
      pages = {965--968}
    }
    
  112. K. Zhang, Y. Cheng, Y. Xie, A. Agrawal, D. Palsetia, K. Lee, and A. Choudhary, “SES: Sentiment Elicitation System for Social Media Data,” in IEEE ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction, (SENTIRE), 2011, pp. 129–136. [url] [bib]

    @inproceedings{ZCX11,
      author = {Zhang, Kunpeng and Cheng, Yu and Xie, Yusheng and Agrawal, Ankit and Palsetia, Diana and Lee, Kathy and Choudhary, Alok},
      title = {SES: Sentiment Elicitation System for Social Media Data},
      year = {2011},
      booktitle = {IEEE ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction, (SENTIRE)},
      pages = {129--136}
    }
    
  113. A. Agrawal, A. Mittal, R. Jain, and R. Takkar, “Fuzzy-adaptive-thresholding-based exon prediction,” International Journal of Computational Biology and Drug Design, vol. 3, no. 4, pp. 311–333, 2010. [url] [bib]

    @article{AMJ10,
      title = {Fuzzy-adaptive-thresholding-based exon prediction},
      author = {Agrawal, Ankit and Mittal, Ankush and Jain, Rahul and Takkar, Raghav},
      journal = {International Journal of Computational Biology and Drug Design},
      volume = {3},
      number = {4},
      pages = {311--333},
      year = {2010},
      publisher = {Inderscience}
    }
    
  114. A. Agrawal, A. Mittal, R. Jain, and R. Takkar, “An adaptive fuzzy thresholding algorithm for exon prediction,” in Proc. of IEEE International Conference on Electro/Information Technology (EIT) (Poster paper), 2008, pp. 211–214. [url] [bib]

    @inproceedings{AMJ08,
      title = {An adaptive fuzzy thresholding algorithm for exon prediction},
      author = {Agrawal, Ankit and Mittal, Ankush and Jain, Rahul and Takkar, Raghav},
      booktitle = {Proc. of IEEE International Conference on Electro/Information Technology (EIT) (Poster paper)},
      pages = {211--214},
      year = {2008},
      organization = {IEEE}
    }
    
  115. A. Agrawal and A. Mittal, “A dynamic time-lagged correlation based method to learn multi-time delay gene networks,” World Academy of Science, Engineering and Technology, vol. 9, pp. 723–730, 2007. [bib]

    @article{AM07,
      title = {A dynamic time-lagged correlation based method to learn multi-time delay gene networks},
      author = {Agrawal, Ankit and Mittal, Ankush},
      journal = {World Academy of Science, Engineering and Technology},
      volume = {9},
      pages = {723--730},
      year = {2007}
    }
    
  116. A. Agrawal, A. Mittal, and S. Gupta, “A Restrictive Mining Algorithm to Learn Multi Time Delay Gene Networks,” Bioinformatics Trends - A Journal of Bioinformatics and Its Applications, vol. 2, no. 3, 4, pp. 125–140, 2007. [bib]

    @article{AMG07,
      author = {Agrawal, Ankit and Mittal, Ankush and Gupta, Sumit},
      title = {A Restrictive Mining Algorithm to Learn Multi Time Delay Gene Networks},
      year = {2007},
      journal = {Bioinformatics Trends - A Journal of Bioinformatics and Its Applications},
      volume = {2},
      number = {3,4},
      pages = {125-140}
    }
    
  117. A. Agrawal, R. Jain, R. Takkar, and A. Mittal, “Exon prediction using a novel fuzzy logic based adaptive thresholding algorithm.” 2006. International Conference in Bioinformatics (InCoB), December 18-20, 2006, pp. P043.1-6 (Poster paper). [bib]

    @misc{AJT06a,
      title = {Exon prediction using a novel fuzzy logic based adaptive thresholding algorithm},
      author = {Agrawal, Ankit and Jain, Rahul and Takkar, Raghav and Mittal, Ankush},
      year = {2006},
      note = {International Conference in Bioinformatics (InCoB), December 18-20, 2006, pp. P043.1-6 (Poster paper)}
    }
    
  118. A. Agrawal, R. Jain, R. Takkar, and A. Mittal, “PCRPA: Protein-Coding Region Predictor and Analyzer - Exon Prediction Using Power Spectrum Estimation Methods.” 2006. Proceedings of the National Conference on IT and Its Application, pp. B107-B111. [bib]

    @misc{AJT06b,
      title = {PCRPA: Protein-Coding Region Predictor and Analyzer - Exon Prediction Using Power Spectrum Estimation Methods},
      author = {Agrawal, Ankit and Jain, Rahul and Takkar, Raghav and Mittal, Ankush},
      year = {2006},
      note = {Proceedings of the National Conference on IT and Its Application, pp. B107-B111}
    }
    
  119. A. Agrawal and A. Mittal, “Identifying temporal gene networks using signal processing metrics on time-series gene expression data,” in Proc. of 3rd International Conference on Intelligent Sensing and Information Processing (ICISIP), 2005, pp. 86–92. [url] [bib]

    @inproceedings{AM05,
      title = {Identifying temporal gene networks using signal processing metrics on time-series gene expression data},
      author = {Agrawal, A and Mittal, A},
      booktitle = {Proc. of 3rd International Conference on Intelligent Sensing and Information Processing (ICISIP)},
      pages = {86--92},
      year = {2005},
      organization = {IEEE}
    }
    
  120. A. Agrawal, A. Mittal, and S. Gupta, “Identifying Temporal Gene Networks by Mining Gene Expression Data,” in Proc. of 12th International Conference on Advanced Computing and Communications (ADCOM), 2004, pp. 194–200. [bib]

    @inproceedings{AMG04,
      title = {Identifying Temporal Gene Networks by Mining Gene Expression Data},
      author = {Agrawal, Ankit and Mittal, Ankush and Gupta, Sumit},
      booktitle = {Proc. of 12th International Conference on Advanced Computing and Communications (ADCOM)},
      pages = {194--200},
      year = {2004}
    }
    

Materials Informatics

  1. A. Agrawal and A. Choudhary, “Data Science Approaches for Predicting Fatigue Strength of Steels.” 2017. TMS Annual Meeting & Exhibition, Symposium on Advanced High-Strength Steels, Feb. 26 - Mar. 2, San Diego, CA (Abstract). [url] [bib]

    @misc{ACtms17,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Data Science Approaches for Predicting Fatigue Strength of Steels},
      note = {TMS Annual Meeting & Exhibition, Symposium on Advanced High-Strength Steels, Feb. 26 - Mar. 2, San Diego, CA (Abstract)},
      year = {2017}
    }
    
  2. A. Furmanchuk, A. Agrawal, and A. Choudhary, “Data Science Approaches for Predicting Thermoelectric Properties.” 2017. TMS Annual Meeting & Exhibition, Alloys and Compounds for Thermoelectric and Solar Cell Applications V, Feb. 26 - Mar. 2, San Diego, CA (Abstract). [url] [bib]

    @misc{FACtms17,
      author = {Furmanchuk, Al'ona and Agrawal, Ankit and Choudhary, Alok},
      title = {Data Science Approaches for Predicting Thermoelectric Properties},
      note = {TMS Annual Meeting & Exhibition, Alloys and Compounds for Thermoelectric and Solar Cell Applications V, Feb. 26 - Mar. 2, San Diego, CA (Abstract)},
      year = {2017}
    }
    
  3. A. G. Gagorik, B. Savoie, N. Jackson, A. Agrawal, A. Choudhary, M. A. Ratner, G. C. Schatz, and K. L. Kohlstedt, “Improved Scaling of Molecular Network Calculations: The Emergence of Molecular Domains,” The Journal of Physical Chemistry Letters, vol. 8, no. 2, pp. 415–421, 2017. [url] [bib]

    @article{GSJ17,
      author = {Gagorik, Adam G. and Savoie, Brett and Jackson, Nick and Agrawal, Ankit and Choudhary, Alok and Ratner, Mark A. and Schatz, George C. and Kohlstedt, Kevin L.},
      title = {Improved Scaling of Molecular Network Calculations: The Emergence of Molecular Domains},
      journal = {The Journal of Physical Chemistry Letters},
      year = {2017},
      pages = {415-421},
      volume = {8},
      number = {2}
    }
    
  4. R. Liu, Y. C. Yabansu, Z. Yang, A. N. Choudhary, S. R. Kalidindi, and A. Agrawal, “Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures,” Integrating Materials and Manufacturing Innovation, pp. 1–12, 2017. [url] [bib]

    @article{LYY17,
      author = {Liu, Ruoqian and Yabansu, Yuksel C. and Yang, Zijiang and Choudhary, Alok N. and Kalidindi, Surya R. and Agrawal, Ankit},
      title = {Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures},
      journal = {Integrating Materials and Manufacturing Innovation},
      year = {2017},
      pages = {1-12}
    }
    
  5. A. Agrawal and A. Choudhary, “Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science.” 2017. 4th World Congress on Integrated Computational Materials Engineering (ICME 2017), May 21–25, 2017, Ypsilanti, Michigan, USA (Abstract). [bib]

    @misc{ACicme17,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science},
      note = {4th World Congress on Integrated Computational Materials Engineering (ICME 2017), May 21–25, 2017, Ypsilanti, Michigan, USA (Abstract)},
      year = {2017}
    }
    
  6. A. Agrawal and A. Choudhary, “Data-Driven Approaches for Predicting Fatigue Strength of Steels.” 2017. Materials Science & Technology 2017, Shaping & Forming of Advanced High Strength Steels II, Oct. 08 - Oct. 12, Pittsburgh, PA, USA (Abstract). [bib]

    @misc{ACmst17a,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Data-Driven Approaches for Predicting Fatigue Strength of Steels},
      note = {Materials Science & Technology 2017, Shaping & Forming of Advanced High Strength Steels II, Oct. 08 - Oct. 12, Pittsburgh, PA, USA (Abstract)},
      year = {2017}
    }
    
  7. A. Agrawal and A. Choudhary, “Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science.” 2017. Materials Science & Technology 2017, Recent Advances in Computer-aided Materials Design, Oct. 08 - Oct. 12, Pittsburgh, PA, USA (Abstract). [bib]

    @misc{ACmst17b,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science},
      note = {Materials Science & Technology 2017, Recent Advances in Computer-aided Materials Design, Oct. 08 - Oct. 12, Pittsburgh, PA, USA (Abstract)},
      year = {2017}
    }
    
  8. A. Agrawal and A. Choudhary, “Perspective: Materials informatics and big data: Realization of the ‘fourth paradigm’ of science in materials science,” APL Materials, vol. 4, no. 053208, pp. 1–10, 2016. [url] [bib]

    @article{AC16APLMat,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science},
      journal = {APL Materials},
      year = {2016},
      pages = {1-10},
      volume = {4},
      number = {053208}
    }
    
  9. A. Agrawal and A. Choudhary, “A Fatigue Strength Predictor for Steels Using Ensemble Data Mining,” in Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM) (Demo), 2016, pp. 2497–2500. [url] [bib]

    @inproceedings{AC16cikm,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {A Fatigue Strength Predictor for Steels Using Ensemble Data Mining},
      booktitle = {Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM) (Demo)},
      pages = {2497-2500},
      year = {2016}
    }
    
  10. A. Agrawal and A. Choudhary, “Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design.” 2016. TMS Annual Meeting & Exhibition, Symposium of ICME Infrastructure Development for Accelerated Materials Design - Data Repositories, Informatics, and Computational Tools, Feb. 14-18, Nashville, TN (Abstract). [url] [bib]

    @misc{AC16tms,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design},
      note = {TMS Annual Meeting & Exhibition, Symposium of ICME Infrastructure Development for Accelerated Materials Design - Data Repositories, Informatics, and Computational Tools, Feb. 14-18, Nashville, TN (Abstract)},
      year = {2016}
    }
    
  11. A. Agrawal, B. Meredig, C. Wolverton, and A. Choudhary, “A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining,” in Proceedings of IEEE International Conference on Data Mining (ICDM) (Demo), 2016, pp. 1276–1279. [url] [bib]

    @inproceedings{AMW16icdm,
      author = {Agrawal, Ankit and Meredig, Bryce and Wolverton, Christopher and Choudhary, Alok},
      title = {A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining},
      booktitle = {Proceedings of IEEE International Conference on Data Mining (ICDM) (Demo)},
      pages = {1276-1279},
      year = {2016}
    }
    
  12. A. Furmanchuk, A. Agrawal, and A. Choudhary, “Predictive analytics for crystalline materials: Bulk modulus,” RSC Advances, vol. 6, no. 97, pp. 95246–95251, 2016. [url] [bib]

    @article{FAC16,
      author = {Furmanchuk, Al'ona and Agrawal, Ankit and Choudhary, Alok},
      title = {Predictive analytics for crystalline materials: Bulk modulus},
      journal = {RSC Advances},
      year = {2016},
      volume = {6},
      number = {97},
      pages = {95246-95251}
    }
    
  13. A. Furmanchuk, A. Agrawal, J. Saal, J. Doak, G. Olson, and A. Choudhary, “Machine Learning for Advancing Discovery of Novel Thermoelectric Materials: ThermoEl.” 2016. 2016 AIChE Annual Meeting, November 13-18, San Francisco, CA (Abstract). [url] [bib]

    @misc{FAS16,
      author = {Furmanchuk, Al'ona and Agrawal, Ankit and Saal, James and Doak, Jeff and Olson, Gregory and Choudhary, Alok},
      title = {Machine Learning for Advancing Discovery of Novel Thermoelectric Materials: ThermoEl},
      note = {2016 AIChE Annual Meeting, November 13-18, San Francisco, CA (Abstract)},
      year = {2016}
    }
    
  14. R. Liu, A. Agrawal, W.-keng Liao, M. D. Graef, and A. Choudhary, “Materials Discovery: Understanding Polycrystals from Large-Scale Electron Patterns,” in Proceedings of IEEE BigData Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH), 2016, pp. 2261–2269. [url] [bib]

    @inproceedings{LAL16,
      author = {Liu, Ruoqian and Agrawal, Ankit and Liao, Wei-keng and Graef, Marc De and Choudhary, Alok},
      title = {Materials Discovery: Understanding Polycrystals from Large-Scale Electron Patterns},
      booktitle = {Proceedings of IEEE BigData Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH)},
      pages = {2261-2269},
      year = {2016}
    }
    
  15. L. Ward, A. Agrawal, A. Choudhary, and C. Wolverton, “A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials,” npj Computational Materials, vol. 2, no. 16028, 2016. [url] [bib]

    @article{WAC16,
      author = {Ward, Logan and Agrawal, Ankit and Choudhary, Alok and Wolverton, Chris},
      title = {A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials},
      journal = {npj Computational Materials},
      year = {2016},
      volume = {2},
      number = {16028}
    }
    
  16. L. Ward, A. Krishna, R. Liu, V. Hegde, A. Agrawal, A. Choudhary, and C. Wolverton, “A General-Purpose Toolkit for Predicting the Properties of Materials using Machine Learning.” 2016. TMS Annual Meeting & Exhibition, Symposium of Computational Materials Discovery and Optimization - From 2D to Bulk Materials, Feb. 14-18, Nashville, TN (Abstract). [url] [bib]

    @misc{WKL16,
      author = {Ward, Logan and Krishna, Amar and Liu, Rosanne and Hegde, Vinay and Agrawal, Ankit and Choudhary, Alok and Wolverton, Chris},
      title = {A General-Purpose Toolkit for Predicting the Properties of Materials using Machine Learning},
      note = {TMS Annual Meeting & Exhibition, Symposium of Computational Materials Discovery and Optimization - From 2D to Bulk Materials, Feb. 14-18, Nashville, TN (Abstract)},
      year = {2016}
    }
    
  17. R. Liu, L. Ward, C. Wolverton, A. Agrawal, W.-K. Liao, and A. Choudhary, “Deep Learning for Chemical Compound Stability Prediction,” in Proceedings of ACM SIGKDD Workshop on Large-scale Deep Learning for Data Mining (DL-KDD), 2016, pp. 1–7. [url] [bib]

    @inproceedings{LWW16,
      author = {Liu, Ruoqian and Ward, Logan and Wolverton, Chris and Agrawal, Ankit and Liao, Wei-Keng and Choudhary, Alok},
      title = {Deep Learning for Chemical Compound Stability Prediction},
      booktitle = {Proceedings of ACM SIGKDD Workshop on Large-scale Deep Learning for Data Mining (DL-KDD)},
      pages = {1-7},
      year = {2016}
    }
    
  18. R. Liu, A. Kumar, Z. Chen, A. Agrawal, V. Sundararaghavan, and A. Choudhary, “A Predictive Machine Learning Approach for Microstructure Optimization and Materials Design,” Nature Scientific Reports, vol. 5, no. 11551, 2015. [url] [bib]

    @article{LKC15,
      author = {Liu, Ruoqian and Kumar, Abhishek and Chen, Zhengzhang and Agrawal, Ankit and Sundararaghavan, Veera and Choudhary, Alok},
      title = {A Predictive Machine Learning Approach for Microstructure Optimization and Materials Design},
      journal = {Nature Scientific Reports},
      year = {2015},
      volume = {5},
      number = {11551}
    }
    
  19. R. Liu, Y. C. Yabansu, A. Agrawal, S. R. Kalidindi, and A. N. Choudhary, “Machine learning approaches for elastic localization linkages in high-contrast composite materials,” Integrating Materials and Manufacturing Innovation, vol. 4, no. 13, pp. 1–17, 2015. [url] [bib]

    @article{LYA15,
      author = {Liu, Ruoqian and Yabansu, Yuksel C. and Agrawal, Ankit and Kalidindi, Surya R. and Choudhary, Alok N.},
      title = {Machine learning approaches for elastic localization linkages in high-contrast composite materials},
      journal = {Integrating Materials and Manufacturing Innovation},
      year = {2015},
      pages = {1-17},
      volume = {4},
      number = {13}
    }
    
  20. L. Ward, A. Agrawal, A. Choudhary, and C. Wolverton, “General Machine-Learning-Based Framework for Predicting the Properties of Materials Using Composition.” 2015. MRS Fall Meeting & Exhibit, Symposium CCC - Integrating Experiments, Simulations and Machine Learning to Accelerate Materials Innovation, Nov 29 - Dec 4, Boston, MA (Abstract). [url] [bib]

    @misc{WAC15,
      author = {Ward, Logan and Agrawal, Ankit and Choudhary, Alok and Wolverton, Chris},
      title = {General Machine-Learning-Based Framework for Predicting the Properties of Materials Using Composition},
      note = {MRS Fall Meeting & Exhibit, Symposium CCC - Integrating Experiments, Simulations and Machine Learning to Accelerate Materials Innovation, Nov 29 - Dec 4, Boston, MA (Abstract)},
      year = {2015}
    }
    
  21. A. Agrawal, P. D. Deshpande, A. Cecen, G. P. Basavarsu, A. N. Choudhary, and S. R. Kalidindi, “Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters,” Integrating Materials and Manufacturing Innovation, vol. 3, no. 8, pp. 1–19, 2014. [url] [bib]

    @article{ADC14,
      author = {Agrawal, Ankit and Deshpande, Parijat D and Cecen, Ahmet and Basavarsu, Gautham P and Choudhary, Alok N and Kalidindi, Surya R},
      title = {Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters},
      journal = {Integrating Materials and Manufacturing Innovation},
      year = {2014},
      pages = {1-19},
      volume = {3},
      number = {8}
    }
    
  22. R. Liu, Z. Chen, T. Fast, S. Kalidindi, A. Agrawal, and A. Choudhary, “Predictive Modeling in Characterizing Localization Relationships.” 2014. TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, Feb. 16-20, San Diego, CA (Abstract). [url] [bib]

    @misc{LCF14,
      author = {Liu, R and Chen, Zhengzhang and Fast, Tony and Kalidindi, Surya and Agrawal, Ankit and Choudhary, Alok},
      title = {Predictive Modeling in Characterizing Localization Relationships},
      note = {TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, Feb. 16-20, San Diego, CA (Abstract)},
      year = {2014}
    }
    
  23. R. Liu, A. Kumar, Z. Chen, A. Agrawal, V. Sundararaghavan, and A. Choudhary, “A Data Mining Approach in Structure-Property Optimization.” 2014. TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, Feb. 16-20, San Diego, CA (Abstract). [url] [bib]

    @misc{LKC14,
      author = {Liu, R and Kumar, A and Chen, Zhengzhang and Agrawal, Ankit and Sundararaghavan, V and Choudhary, Alok},
      title = {A Data Mining Approach in Structure-Property Optimization},
      note = {TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, Feb. 16-20, San Diego, CA (Abstract)},
      year = {2014}
    }
    
  24. B. Meredig, A. Agrawal, S. Kirklin, J. E. Saal, J. W. Doak, A. Thompson, K. Zhang, A. Choudhary, and C. Wolverton, “Combinatorial screening for new materials in unconstrained composition space with machine learning,” Physical Review B, vol. 89, no. 094104, pp. 1–7, 2014. BM and AA are co-first authors. [url] [bib]

    @article{MAK14,
      author = {Meredig, Bryce and Agrawal, Ankit and Kirklin, S and Saal, J E and Doak, J W and Thompson, A and Zhang, Kunpeng and Choudhary, Alok and Wolverton, Christopher},
      title = {Combinatorial screening for new materials in unconstrained composition space with machine learning},
      journal = {Physical Review B},
      year = {2014},
      number = {094104},
      volume = {89},
      pages = {1-7},
      note = {**BM and AA are co-first authors**}
    }
    
  25. P. D. Deshpande, B. P. Gautham, A. Cecen, S. Kalidindi, A. Agrawal, and A. Choudhary, “Application of Statistical and Machine Learning Techniques for Correlating Properties to Composition and Manufacturing Processes of Steels.” pp. 155–160, 2013. 2nd World Congress on Integrated Computational Materials Engineering, July 7-11, 2013, Salt Lake City, Utah (Abstract). [url] [bib]

    @misc{DGC13,
      author = {Deshpande, PD and Gautham, BP and Cecen, A and Kalidindi, S and Agrawal, Ankit and Choudhary, A},
      title = {Application of Statistical and Machine Learning Techniques for Correlating Properties to Composition and Manufacturing Processes of Steels},
      year = {2013},
      pages = {155-160},
      note = {2nd World Congress on Integrated Computational Materials Engineering, July 7-11, 2013, Salt Lake City, Utah (Abstract)}
    }
    
  26. K. Gopalakrishnan, A. Agrawal, H. Ceylan, S. Kim, and A. Choudhary, “Knowledge discovery and data mining in pavement inverse analysis,” Transport, vol. 28, no. 1, pp. 1–10, 2013. [url] [bib]

    @article{GAC13,
      title = {Knowledge discovery and data mining in pavement inverse analysis},
      author = {Gopalakrishnan, Kasthurirangan and Agrawal, Ankit and Ceylan, Halil and Kim, Sunghwan and Choudhary, Alok},
      journal = {Transport},
      volume = {28},
      number = {1},
      pages = {1--10},
      year = {2013},
      publisher = {Taylor & Francis Group}
    }
    

Healthcare Informatics

  1. A. Agrawal and A. Choudhary, “Health Services Data: Big Data Analytics for Deriving Predictive Healthcare Insights,” in Data and Measures in Health Services Research, B. Sobolev, A. Levy, and S. Goring, Eds. Springer US, 2016, pp. 1–17. [url] [bib]

    @inbook{AChsr16,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Health Services Data: Big Data Analytics for Deriving Predictive Healthcare Insights},
      editor = {Sobolev, Boris and Levy, Adrian and Goring, Sarah},
      booktitle = {Data and Measures in Health Services Research},
      publisher = {Springer US},
      year = {2016},
      pages = {1-17}
    }
    
  2. A. Agrawal, J. Mathias, D. Baker, and A. Choudhary, “Identifying HotSpots in Five Year Survival Electronic Health Records of Older Adults,” in Proceedings of 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2016, pp. 1–6. [url] [bib]

    @inproceedings{AMB16iccabs,
      author = {Agrawal, Ankit and Mathias, Jason and Baker, David and Choudhary, Alok},
      title = {Identifying HotSpots in Five Year Survival Electronic Health Records of Older Adults},
      booktitle = {Proceedings of 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)},
      pages = {1-6},
      year = {2016}
    }
    
  3. A. Agrawal, J. Mathias, D. Baker, and A. Choudhary, “Five Year Life Expectancy Calculator for Older Adults,” in Proceedings of IEEE International Conference on Data Mining (ICDM) (Demo), 2016, pp. 1280–1283. [url] [bib]

    @inproceedings{AMB16icdm,
      author = {Agrawal, Ankit and Mathias, Jason and Baker, David and Choudhary, Alok},
      title = {Five Year Life Expectancy Calculator for Older Adults},
      booktitle = {Proceedings of IEEE International Conference on Data Mining (ICDM) (Demo)},
      pages = {1280-1283},
      year = {2016}
    }
    
  4. R. Al-Bahrani, M. K. Danilovich, A. Agrawal, and A. Choudhary, “Towards Informal Caregiver Identification in Social Media,” in Proceedings of IEEE International Conference on Healthcare Informatics (ICHI) (Poster), 2016, pp. 414–414. [url] [bib]

    @inproceedings{BDA16,
      author = {Al-Bahrani, Reda and Danilovich, Margaret K and Agrawal, Ankit and Choudhary, Alok},
      title = {Towards Informal Caregiver Identification in Social Media},
      booktitle = {Proceedings of IEEE International Conference on Healthcare Informatics (ICHI) (Poster)},
      year = {2016},
      pages = {414-414}
    }
    
  5. A. Agrawal and A. Choudhary, “Software tools for sequence comparison, sequence mapping, and patient-specific healthcare outcome prediction.” 2016. 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Demo). [bib]

    @misc{AC16bcb,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Software tools for sequence comparison, sequence mapping, and patient-specific healthcare outcome prediction},
      note = {7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Demo)},
      year = {2016}
    }
    
  6. R. Al-Bahrani, A. Agrawal, and A. Choudhary, “Colon Cancer Outcome Calculator.” 2016. IEEE International Conference on Healthcare Informatics (ICHI) (Demo). [bib]

    @misc{BAC16,
      author = {Al-Bahrani, Reda and Agrawal, Ankit and Choudhary, Alok},
      title = {Colon Cancer Outcome Calculator},
      note = {IEEE International Conference on Healthcare Informatics (ICHI) (Demo)},
      year = {2016}
    }
    
  7. K. Lee, A. Agrawal, and A. Choudhary, “Mining Social Media Streams to Improve Public Health Allergy Surveillance,” in Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2015, pp. 815–822. [url] [bib]

    @inproceedings{LAC15a,
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      title = {Mining Social Media Streams to Improve Public Health Allergy Surveillance},
      booktitle = {Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM)},
      pages = {815-822},
      year = {2015}
    }
    
  8. A. Agrawal, R. Al-Bahrani, R. Merkow, K. Bilimoria, and A. Choudhary, “Colon Surgery Outcome Prediction Using ACS NSQIP Data,” in Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH), 2013, pp. 1–6. [url] [bib]

    @inproceedings{ABM13,
      author = {Agrawal, Ankit and Al-Bahrani, Reda and Merkow, Ryan and Bilimoria, Karl and Choudhary, Alok},
      title = {Colon Surgery Outcome Prediction Using ACS NSQIP Data},
      booktitle = {Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH)},
      pages = {1-6},
      year = {2013}
    }
    
  9. A. Agrawal, R. Al-Bahrani, J. Raman, M. J. Russo, and A. Choudhary, “Lung Transplant Outcome Prediction using UNOS Data,” in Proceedings of the IEEE Big Data Workshop on Bioinformatics and Health Informatics (BHI), 2013, pp. 1–8. [url] [bib]

    @inproceedings{ABR13,
      author = {Agrawal, Ankit and Al-Bahrani, Reda and Raman, Jaishankar and Russo, Mark J. and Choudhary, Alok},
      title = {Lung Transplant Outcome Prediction using UNOS Data},
      booktitle = {Proceedings of the IEEE Big Data Workshop on Bioinformatics and Health Informatics (BHI)},
      pages = {1-8},
      year = {2013}
    }
    
  10. A. Agrawal and A. Choudhary, “An Analysis of Variation in Hospital Billing Using Medicare Data,” in Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH), 2013, pp. 1–6. [url] [bib]

    @inproceedings{AC13,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {An Analysis of Variation in Hospital Billing Using Medicare Data},
      booktitle = {Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH)},
      pages = {1-6},
      year = {2013}
    }
    
  11. A. Agrawal, J. Raman, M. J. Russo, and A. Choudhary, “Heart Transplant Outcome Prediction using UNOS Data,” in Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH), 2013, pp. 1–6. [url] [bib]

    @inproceedings{ARR13,
      author = {Agrawal, Ankit and Raman, Jaishankar and Russo, Mark J. and Choudhary, Alok},
      title = {Heart Transplant Outcome Prediction using UNOS Data},
      booktitle = {Proceedings of the KDD Workshop on Data Mining for Healthcare (DMH)},
      pages = {1-6},
      year = {2013}
    }
    
  12. R. Al-Bahrani, A. Agrawal, and A. Choudhary, “Colon cancer survival prediction using ensemble data mining on SEER data,” in Proceedings of the IEEE Big Data Workshop on Bioinformatics and Health Informatics (BHI), 2013, pp. 9–16. [url] [bib]

    @inproceedings{BAC13,
      author = {Al-Bahrani, Reda and Agrawal, Ankit and Choudhary, Alok},
      title = {Colon cancer survival prediction using ensemble data mining on SEER data},
      booktitle = {Proceedings of the IEEE Big Data Workshop on Bioinformatics and Health Informatics (BHI)},
      pages = {9-16},
      year = {2013}
    }
    
  13. K. Lee, A. Agrawal, and A. Choudhary, “Real-Time Digital Flu Surveillance using Twitter Data,” in Proceedings of the SDM Workshop on Data Mining for Medicine and Healthcare (DMMH), 2013, pp. 19–27. [url] [bib]

    @inproceedings{LAC13a,
      title = {Real-Time Digital Flu Surveillance using Twitter Data},
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the SDM Workshop on Data Mining for Medicine and Healthcare (DMMH)},
      pages = {19-27},
      year = {2013}
    }
    
  14. K. Lee, A. Agrawal, and A. Choudhary, “Real-Time Disease Surveillance using Twitter Data: Demonstration on Flu and Cancer,” in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper), 2013, pp. 1474–1477. [url] [bib]

    @inproceedings{LAC13b,
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      title = {Real-Time Disease Surveillance using Twitter Data: Demonstration on Flu and Cancer},
      booktitle = {Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper)},
      pages = {1474-1477},
      year = {2013}
    }
    
  15. L. Liu, J. Tang, Y. Cheng, A. Agrawal, W.-keng Liao, and A. Choudhary, “Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support,” in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013, 2013, pp. 279–288. [url] [bib]

    @inproceedings{LTC13,
      author = {Liu, Lu and Tang, Jie and Cheng, Yu and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support},
      booktitle = {Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013},
      pages = {279-288},
      year = {2013}
    }
    
  16. J. S. Mathias, A. Agrawal, J. Feinglass, A. J. Cooper, D. W. Baker, and A. Choudhary, “Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data,” Journal of the American Medical Informatics Association, vol. 20, pp. e118–e124, 2013. JSM and AA are co-first authors. [url] [bib]

    @article{MAF13,
      title = {Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data},
      author = {Mathias, Jason Scott and Agrawal, Ankit and Feinglass, Joe and Cooper, Andrew J and Baker, David William and Choudhary, Alok},
      journal = {Journal of the American Medical Informatics Association},
      year = {2013},
      volume = {20},
      pages = {e118-e124},
      publisher = {BMJ Publishing Group Ltd},
      note = {**JSM and AA are co-first authors**}
    }
    
  17. Y. Xie, Z. Chen, Y. Cheng, K. Zhang, A. Agrawal, W.-keng Liao, and A. Choudhary, “Detecting and Tracking Disease Outbreaks by Mining Social Media Data,” in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013, pp. 2958–2960. [url] [bib]

    @inproceedings{XCC13,
      title = {Detecting and Tracking Disease Outbreaks by Mining Social Media Data},
      author = {Xie, Yusheng and Chen, Zhengzhang and Cheng, Yu and Zhang, Kunpeng and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)},
      pages = {2958-2960},
      year = {2013}
    }
    
  18. A. Agrawal, S. Misra, R. Narayanan, L. Polepeddi, and A. Choudhary, “Lung cancer survival prediction using ensemble data mining on SEER data,” Scientific Programming, vol. 20, no. 1, pp. 29–42, 2012. [url] [bib]

    @article{AMN12,
      title = {Lung cancer survival prediction using ensemble data mining on SEER data},
      author = {Agrawal, Ankit and Misra, Sanchit and Narayanan, Ramanathan and Polepeddi, Lalith and Choudhary, Alok},
      journal = {Scientific Programming},
      volume = {20},
      number = {1},
      pages = {29--42},
      year = {2012},
      publisher = {IOS Press}
    }
    
  19. J. S. Mathias, A. Agrawal, A. Cooper, J. Feinglass, D. W. Baker, and A. Choudhary, “An EHR-Based Index for 5-Year Life Expectancy in Older Adults.” 2012. 18th Annual National Research Services Award (NRSA) Conference, June 23, 2012, Orlando, FL. (Abstract) JSM and AA are co-first authors. [bib]

    @misc{MAC12,
      title = {An EHR-Based Index for 5-Year Life Expectancy in Older Adults},
      author = {Mathias, Jason S. and Agrawal, Ankit and Cooper, Andrew and Feinglass, Joe and Baker, David W. and Choudhary, Alok},
      year = {2012},
      note = {18th Annual National Research Services Award (NRSA) Conference, June 23, 2012, Orlando, FL. (Abstract) **JSM and AA are co-first authors**}
    }
    
  20. A. Agrawal and A. Choudhary, “Identifying HotSpots in Lung Cancer Data Using Association Rule Mining,” in 2nd IEEE ICDM Workshop on Biological Data Mining and its Applications in Healthcare (BioDM), 2011, pp. 995–1002. [url] [bib]

    @inproceedings{AC11a,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Identifying HotSpots in Lung Cancer Data Using Association Rule Mining},
      year = {2011},
      booktitle = {2nd IEEE ICDM Workshop on Biological Data Mining and its Applications in Healthcare (BioDM)},
      pages = {995--1002}
    }
    
  21. A. Agrawal and A. Choudhary, “Association Rule Mining Based HotSpot Analysis on SEER Lung Cancer Data,” International Journal of Knowledge Discovery in Bioinformatics (IJKDB), vol. 2, no. 2, pp. 34–54, 2011. [url] [bib]

    @article{AC11b,
      title = {Association Rule Mining Based HotSpot Analysis on SEER Lung Cancer Data},
      author = {Agrawal, Ankit and Choudhary, Alok},
      journal = {International Journal of Knowledge Discovery in Bioinformatics (IJKDB)},
      volume = {2},
      number = {2},
      pages = {34--54},
      year = {2011},
      publisher = {IGI Global}
    }
    
  22. A. Agrawal, S. Misra, A. Choudhary, and K. Bilimoria, “Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery.” IEEE, pp. 232–232, 2011. Proc. of IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). [url] [bib]

    @misc{AMC11,
      title = {Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery},
      author = {Agrawal, Ankit and Misra, Sanchit and Choudhary, Alok and Bilimoria, Karl},
      note = {Proc. of IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)},
      pages = {232--232},
      year = {2011},
      organization = {IEEE}
    }
    
  23. A. Agrawal, S. Misra, R. Narayanan, L. Polepeddi, and A. Choudhary, “Poster: A lung cancer mortality risk calculator based on SEER data,” in Proc. of IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2011, pp. 233–233. [url] [bib]

    @inproceedings{AMN11a,
      author = {Agrawal, Ankit and Misra, Sanchit and Narayanan, Ramanathan and Polepeddi, Lalith and Choudhary, Alok},
      title = {Poster: A lung cancer mortality risk calculator based on SEER data},
      booktitle = {Proc. of IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)},
      pages = {233-233},
      year = {2011}
    }
    
  24. A. Agrawal, S. Misra, R. Narayanan, L. Polepeddi, and A. Choudhary, “A lung cancer outcome calculator using ensemble data mining on SEER data,” in Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics (BIOKDD), New York, NY, USA, 2011, pp. 1–9. [url] [bib]

    @inproceedings{AMN11b,
      author = {Agrawal, Ankit and Misra, Sanchit and Narayanan, Ramanathan and Polepeddi, Lalith and Choudhary, Alok},
      title = {A lung cancer outcome calculator using ensemble data mining on SEER data},
      booktitle = {Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics (BIOKDD)},
      year = {2011},
      isbn = {978-1-4503-0839-7},
      location = {San Diego, California},
      pages = {1--9},
      articleno = {5},
      numpages = {9},
      publisher = {ACM},
      address = {New York, NY, USA}
    }
    

Social Media Analytics

  1. R. Al-Bahrani, M. K. Danilovich, A. Agrawal, and A. Choudhary, “Towards Informal Caregiver Identification in Social Media,” in Proceedings of IEEE International Conference on Healthcare Informatics (ICHI) (Poster), 2016, pp. 414–414. [url] [bib]

    @inproceedings{BDA16,
      author = {Al-Bahrani, Reda and Danilovich, Margaret K and Agrawal, Ankit and Choudhary, Alok},
      title = {Towards Informal Caregiver Identification in Social Media},
      booktitle = {Proceedings of IEEE International Conference on Healthcare Informatics (ICHI) (Poster)},
      year = {2016},
      pages = {414-414}
    }
    
  2. R. Liu, D. Palsetia, A. Paul, R. Al-Bahrani, D. Jha, W.-keng Liao, A. Agrawal, and A. Choudhary, “PinterNet: A Thematic Label Curation Tool for Large Image Datasets,” in Proceedings of IEEE BigData Workshop on Open Science in Big Data (OSBD), 2016, pp. 2353–2362. [url] [bib]

    @inproceedings{LPP16,
      author = {Liu, Ruoqian and Palsetia, Diana and Paul, Arindam and Al-Bahrani, Reda and Jha, Dipendra and Liao, Wei-keng and Agrawal, Ankit and Choudhary, Alok},
      title = {PinterNet: A Thematic Label Curation Tool for Large Image Datasets},
      booktitle = {Proceedings of IEEE BigData Workshop on Open Science in Big Data (OSBD)},
      pages = {2353-2362},
      year = {2016}
    }
    
  3. Y. Xie, Z. Chen, D. Palsetia, G. Trajcevski, A. Agrawal, and A. Choudhary, “Silverback+: Scalable Association Mining Via Fast List Intersection For Columnar Social Data,” Knowledge and Information Systems (KAIS), pp. 1–29, 2016. [url] [bib]

    @article{XCP16,
      author = {Xie, Yusheng and Chen, Zhengzhang and Palsetia, Diana and Trajcevski, Goce and Agrawal, Ankit and Choudhary, Alok},
      title = {Silverback+: Scalable Association Mining Via Fast List Intersection For Columnar Social Data},
      journal = {Knowledge and Information Systems (KAIS)},
      year = {2016},
      pages = {1-29}
    }
    
  4. A. Paul, A. Agrawal, W.-keng Liao, and A. Choudhary, “AnonyMine: Mining anonymous social media posts using psycho-lingual and crowd-sourced dictionaries,” in Proceedings of ACM SIGKDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), 2016. [url] [bib]

    @inproceedings{PAL16,
      author = {Paul, Arindam and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {AnonyMine: Mining anonymous social media posts using psycho-lingual and crowd-sourced dictionaries},
      booktitle = {Proceedings of ACM SIGKDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM)},
      pages = {},
      year = {2016}
    }
    
  5. K. Lee, A. Agrawal, and A. Choudhary, “Mining Social Media Streams to Improve Public Health Allergy Surveillance,” in Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2015, pp. 815–822. [url] [bib]

    @inproceedings{LAC15a,
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      title = {Mining Social Media Streams to Improve Public Health Allergy Surveillance},
      booktitle = {Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM)},
      pages = {815-822},
      year = {2015}
    }
    
  6. Y. Xie, P. Daga, Y. Cheng, K. Zhang, A. Agrawal, and A. Choudhary, “Reducing infrequent-token perplexity via variational corpora,” in Proceedings of the 53rd Annual Meeting of the Association of Computational Linguistics (ACL) and the 7th International Joint Conference on Natural Language Processing, 2015, pp. 609–615. [url] [bib]

    @inproceedings{XDC15,
      author = {Xie, Yusheng and Daga, Pranjal and Cheng, Yu and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok},
      title = {Reducing infrequent-token perplexity via variational corpora},
      booktitle = {Proceedings of the 53rd Annual Meeting of the Association of Computational Linguistics (ACL) and the 7th International Joint Conference on Natural Language Processing},
      pages = {609-615},
      year = {2015}
    }
    
  7. Y. Cheng, A. Agrawal, H. Liu, and A. Choudhary, “Social Role Identification via Dual Uncertainty Minimization Regularization,” in Proceedings of International Conference on Data Mining (ICDM), 2014, pp. 767–772. [url] [bib]

    @inproceedings{CAL14,
      author = {Cheng, Yu and Agrawal, Ankit and Liu, Huan and Choudhary, Alok},
      title = {Social Role Identification via Dual Uncertainty Minimization Regularization},
      booktitle = {Proceedings of International Conference on Data Mining (ICDM)},
      pages = {767-772},
      year = {2014}
    }
    
  8. R. Liu, A. Agrawal, W.-keng Liao, and A. Choudhary, “Enhancing Financial Decision-Making Using Social Behavior Modeling,” in Proceedings of 8th KDD Workshop on Social Network Mining and Analysis for Business, Consumer and Social Insights (SNAKDD), 2014, pp. 13:1–13:5. Article No. 13. [url] [bib]

    @inproceedings{LAL14a,
      author = {Liu, Ruoqian and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Enhancing Financial Decision-Making Using Social Behavior Modeling},
      booktitle = {Proceedings of 8th KDD Workshop on Social Network Mining and Analysis for Business, Consumer and Social Insights (SNAKDD)},
      pages = {13:1--13:5},
      year = {2014},
      note = {Article No. 13}
    }
    
  9. D. Palsetia, M. M. A. Patwary, A. Agrawal, and A. Choudhary, “Excavating Social Circles via User-Interests,” Social Network Analysis and Mining, vol. 4, no. 1, pp. 1–12, 2014. [url] [bib]

    @article{PPA14,
      author = {Palsetia, Diana and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Choudhary, Alok},
      title = {Excavating Social Circles via User-Interests},
      journal = {Social Network Analysis and Mining},
      year = {2014},
      volume = {4},
      number = {1},
      pages = {1-12}
    }
    
  10. D. Palsetia, M. Patwary, W. Hendrix, A. Agrawal, and A. Choudhary, “Clique Guided Community Detection,” in Proceedings of 2014 IEEE International Conference on Big Data (BigData), 2014, pp. 500–509. [url] [bib]

    @inproceedings{PPH14,
      author = {Palsetia, Diana and Patwary, Mostofa and Hendrix, William and Agrawal, Ankit and Choudhary, Alok},
      title = {Clique Guided Community Detection},
      booktitle = {Proceedings of 2014 IEEE International Conference on Big Data (BigData)},
      pages = {500-509},
      year = {2014}
    }
    
  11. Y. Xie, Y. Cheng, A. Agrawal, and A. Choudhary, “Estimating online user location distribution without GPS location,” in Proceedings of ICDM Workshop on Connecting Online and Offline Social Network Analysis (COOL-SNA), 2014, pp. 936–943. [url] [bib]

    @inproceedings{XCA14,
      author = {Xie, Yusheng and Cheng, Yu and Agrawal, Ankit and Choudhary, Alok},
      title = {Estimating online user location distribution without GPS location},
      booktitle = {Proceedings of ICDM Workshop on Connecting Online and Offline Social Network Analysis (COOL-SNA)},
      pages = {936-943},
      year = {2014}
    }
    
  12. Y. Xie, Z. Chen, D. Palsetia, A. Agrawal, and A. Choudhary, “Indexing Bipartite Memberships in Web Graphs,” in Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM) 2014, 2014, pp. 166–173. [url] [bib]

    @inproceedings{XCP14,
      author = {Xie, Yusheng and Chen, Zhengzhang and Palsetia, Diana and Agrawal, Ankit and Choudhary, Alok},
      title = {Indexing Bipartite Memberships in Web Graphs},
      booktitle = {Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM) 2014},
      pages = {166-173},
      year = {2014}
    }
    
  13. Y. Xie, D. Palsetia, G. Trajcevski, A. Agrawal, and A. Choudhary, “Silverback: Scalable Association Mining For Temporal Data in Columnar Probabilistic Databases,” in Proceedings of 30th IEEE International Conference on Data Engineering (ICDE), Industrial and Applications Track, 2014, pp. 1072–1083. [url] [bib]

    @inproceedings{XPT14,
      author = {Xie, Yusheng and Palsetia, Diana and Trajcevski, Goce and Agrawal, Ankit and Choudhary, Alok},
      title = {Silverback: Scalable Association Mining For Temporal Data in Columnar Probabilistic Databases},
      booktitle = {Proceedings of 30th IEEE International Conference on Data Engineering (ICDE), Industrial and Applications Track},
      pages = {1072-1083},
      year = {2014}
    }
    
  14. Y. Cheng, Y. Xie, Z. Chen, A. Agrawal, A. Choudhary, and S. Guo, “JobMiner: A Real-time System for Mining Job-related Patterns from Social Media,” in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper), 2013, pp. 1450–1453. [url] [bib]

    @inproceedings{CXC13b,
      author = {Cheng, Yu and Xie, Yusheng and Chen, Zhengzhang and Agrawal, Ankit and Choudhary, Alok and Guo, Songtao},
      title = {JobMiner: A Real-time System for Mining Job-related Patterns from Social Media},
      booktitle = {Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper)},
      pages = {1450-1453},
      year = {2013}
    }
    
  15. K. Lee, A. Agrawal, and A. Choudhary, “Real-Time Digital Flu Surveillance using Twitter Data,” in Proceedings of the SDM Workshop on Data Mining for Medicine and Healthcare (DMMH), 2013, pp. 19–27. [url] [bib]

    @inproceedings{LAC13a,
      title = {Real-Time Digital Flu Surveillance using Twitter Data},
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the SDM Workshop on Data Mining for Medicine and Healthcare (DMMH)},
      pages = {19-27},
      year = {2013}
    }
    
  16. K. Lee, A. Agrawal, and A. Choudhary, “Real-Time Disease Surveillance using Twitter Data: Demonstration on Flu and Cancer,” in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper), 2013, pp. 1474–1477. [url] [bib]

    @inproceedings{LAC13b,
      author = {Lee, Kathy and Agrawal, Ankit and Choudhary, Alok},
      title = {Real-Time Disease Surveillance using Twitter Data: Demonstration on Flu and Cancer},
      booktitle = {Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper)},
      pages = {1474-1477},
      year = {2013}
    }
    
  17. Y. Xie, Z. Chen, A. Agrawal, A. Choudhary, and L. Liu, “Random Walk-based Graphical Sampling in Unbalanced Heterogeneous Bipartite Social Graphs,” in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013 (Poster paper), 2013, pp. 1473–1476. [url] [bib]

    @inproceedings{XCA13a,
      author = {Xie, Yusheng and Chen, Zhengzhang and Agrawal, Ankit and Choudhary, Alok and Liu, Lu},
      title = {Random Walk-based Graphical Sampling in Unbalanced Heterogeneous Bipartite Social Graphs},
      booktitle = {Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA, Oct. 2013 (Poster paper)},
      pages = {1473-1476},
      year = {2013}
    }
    
  18. Y. Xie, Z. Chen, A. Agrawal, W.-keng Liao, and A. Choudhary, “Caranx: Scalable Social Image Index Using Phylogenetic Tree of Hashtags,” in Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC’13) (Poster paper), 2013, pp. 1–2. [url] [bib]

    @inproceedings{XCA13b,
      author = {Xie, Yusheng and Chen, Zhuoyuan and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Caranx: Scalable Social Image Index Using Phylogenetic Tree of Hashtags},
      booktitle = {Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'13) (Poster paper)},
      pages = {1-2},
      year = {2013}
    }
    
  19. Y. Xie, Z. Chen, Y. Cheng, K. Zhang, A. Agrawal, W.-keng Liao, and A. Choudhary, “Detecting and Tracking Disease Outbreaks by Mining Social Media Data,” in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013, pp. 2958–2960. [url] [bib]

    @inproceedings{XCC13,
      title = {Detecting and Tracking Disease Outbreaks by Mining Social Media Data},
      author = {Xie, Yusheng and Chen, Zhengzhang and Cheng, Yu and Zhang, Kunpeng and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)},
      pages = {2958-2960},
      year = {2013}
    }
    
  20. Y. Xie, Z. Chen, K. Zhang, M. M. A. Patwary, Y. Cheng, H. Liu, A. Agrawal, and A. Choudhary, “Graphical Modeling of Macro Behavioral Targeting in Social Networks,” in Proceedings of the 13th SIAM International Conference on Data Mining (SDM), 2013, pp. 740–748. [url] [bib]

    @inproceedings{XCZ13a,
      title = {Graphical Modeling of Macro Behavioral Targeting in Social Networks},
      author = {Xie, Yusheng and Chen, Zhengzhang and Zhang, Kunpeng and Patwary, Md. Mostofa Ali and Cheng, Yu and Liu, Haotian and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the 13th SIAM International Conference on Data Mining (SDM)},
      pages = {740-748},
      year = {2013}
    }
    
  21. Y. Xie, Z. Chen, K. Zhang, Y. Cheng, D. K. Honbo, A. Agrawal, and A. Choudhary, “MuSES: a Multilingual Sentiment Elicitation System for Social Media Data,” IEEE Intelligent Systems, vol. 99, pp. 1541–1672, 2013. [url] [bib]

    @article{XCZ13b,
      author = {Xie, Yusheng and Chen, Zhengzhang and Zhang, Kunpeng and Cheng, Yu and Honbo, Daniel K. and Agrawal, Ankit and Choudhary, Alok},
      title = {MuSES: a Multilingual Sentiment Elicitation System for Social Media Data},
      journal = {IEEE Intelligent Systems},
      year = {2013},
      pages = {1541-1672},
      volume = {99}
    }
    
  22. Y. Xie, Z. Chen, K. Zhang, Y. Cheng, C. Jin, A. Agrawal, and A. Choudhary, “Elver: Recommending Facebook Pages in Cold Start Situation Without Content Features,” in Proceedings of IEEE International Conference on Big Data (IEEE BigData 2013), 2013, pp. 475–479. [url] [bib]

    @inproceedings{XCZ13c,
      author = {Xie, Yusheng and Chen, Zhengzhang and Zhang, Kunpeng and Cheng, Yu and Jin, Chen and Agrawal, Ankit and Choudhary, Alok},
      title = {Elver: Recommending Facebook Pages in Cold Start Situation Without Content Features},
      booktitle = {Proceedings of IEEE International Conference on Big Data (IEEE BigData 2013)},
      pages = {475-479},
      year = {2013}
    }
    
  23. K. Zhang, D. Downey, Z. Chen, Y. Xie, Y. Cheng, A. Agrawal, W.-keng Liao, and A. Choudhary, “A Probabilistic Graphical Model for Brand Reputation Assessment in Social Networks,” in Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, Aug. 2013, 2013, pp. 223–230. [url] [bib]

    @inproceedings{ZDC13,
      author = {Zhang, Kunpeng and Downey, Doug and Chen, Zhengzhang and Xie, Yusheng and Cheng, Yu and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {A Probabilistic Graphical Model for Brand Reputation Assessment in Social Networks},
      booktitle = {Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, Aug. 2013},
      pages = {223-230},
      year = {2013}
    }
    
  24. Y. Cheng, Y. Xie, K. Zhang, A. Agrawal, and A. Choudhary, “CluChunk: clustering large scale user-generated content incorporating chunklet information,” in Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine), 2012, pp. 12–19. [url] [bib]

    @inproceedings{CXZ12a,
      title = {CluChunk: clustering large scale user-generated content incorporating chunklet information},
      author = {Cheng, Yu and Xie, Yusheng and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine)},
      pages = {12--19},
      year = {2012},
      organization = {ACM}
    }
    
  25. Y. Cheng, Y. Xie, K. Zhang, A. Agrawal, and A. Choudhary, “How Online Content is Received by Users in Social Media: A Case Study on Facebook. com Posts,” in Proceedings of the KDD Workshop on Social Media Analytics (SOMA), 2012, pp. 1–8. [url] [bib]

    @inproceedings{CXZ12b,
      title = {How Online Content is Received by Users in Social Media: A Case Study on Facebook. com Posts},
      author = {Cheng, Yu and Xie, Yusheng and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of the KDD Workshop on Social Media Analytics (SOMA)},
      pages = {1--8},
      year = {2012}
    }
    
  26. D. Palsetia, M. M. A. Patwary, K. Zhang, K. Lee, C. Moran, Y. Xie, D. Honbo, A. Agrawal, W.-keng Liao, and A. Choudhary, “User-Interest based Community Extraction in Social Networks,” in Proceedings of the KDD Workshop on Social Network Mining and Analysis (SNAKDD), 2012, pp. 1–4. [url] [bib]

    @inproceedings{PPZ12,
      title = {User-Interest based Community Extraction in Social Networks},
      author = {Palsetia, Diana and Patwary, Md Mostofa Ali and Zhang, Kunpeng and Lee, Kathy and Moran, Christopher and Xie, Yves and Honbo, Daniel and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the KDD Workshop on Social Network Mining and Analysis (SNAKDD)},
      pages = {1--4},
      year = {2012}
    }
    
  27. Y. Xie, Y. Cheng, D. Honbo, K. Zhang, A. Agrawal, A. Choudhary, Y. Gao, and J. Gou, “Probabilistic macro behavioral targeting,” in Proceedings of the CIKM workshop on Data-driven user behavioral modelling and mining from social media (DUBMMSM), 2012, pp. 7–10. [url] [bib]

    @inproceedings{XCH12a,
      title = {Probabilistic macro behavioral targeting},
      author = {Xie, Yusheng and Cheng, Yu and Honbo, Daniel and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok and Gao, Yi and Gou, Jiangtao},
      booktitle = {Proceedings of the CIKM workshop on Data-driven user behavioral modelling and mining from social media (DUBMMSM)},
      pages = {7--10},
      year = {2012},
      organization = {ACM}
    }
    
  28. Y. Xie, Y. Cheng, D. Honbo, K. Zhang, A. Agrawal, and A. Choudhary, “Crowdsourcing recommendations from social sentiment,” in Proceedings of KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), 2012, pp. 9:1–9:8. [url] [bib]

    @inproceedings{XCH12b,
      title = {Crowdsourcing recommendations from social sentiment},
      author = {Xie, Yusheng and Cheng, Yu and Honbo, Daniel and Zhang, Kunpeng and Agrawal, Ankit and Choudhary, Alok},
      booktitle = {Proceedings of KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM)},
      pages = {9:1-9:8},
      year = {2012},
      organization = {ACM}
    }
    
  29. Y. Xie, D. Honbo, A. Choudhary, K. Zhang, Y. Cheng, and A. Agrawal, “VOXSUP: a social engagement framework,” in Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper), 2012, pp. 1556–1559. [url] [bib]

    @inproceedings{XHC12,
      title = {VOXSUP: a social engagement framework},
      author = {Xie, Yusheng and Honbo, Daniel and Choudhary, Alok and Zhang, Kunpeng and Cheng, Yu and Agrawal, Ankit},
      booktitle = {Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD) (Demo paper)},
      pages = {1556--1559},
      year = {2012},
      organization = {ACM}
    }
    
  30. K. Zhang, Y. Xie, Y. Cheng, D. Honbo, D. Downey, A. Agrawal, W.-keng Liao, and A. Choudhary, “Sentiment identification by incorporating syntax, semantics and context information,” in Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (Poster paper), 2012, pp. 1143–1144. [url] [bib]

    @inproceedings{ZXC12,
      title = {Sentiment identification by incorporating syntax, semantics and context information},
      author = {Zhang, Kunpeng and Xie, Yusheng and Cheng, Yu and Honbo, Daniel and Downey, Doug and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (Poster paper)},
      pages = {1143--1144},
      year = {2012},
      organization = {ACM}
    }
    
  31. Y. Cheng, K. Zhang, Y. Xie, A. Agrawal, W.-keng Liao, and A. Choudhary, “Learning to Group Web Text Incorporating Prior Information,” in 6th IEEE ICDM Workshop on Optimization Based Techniques for Emerging Data Mining Problems, (OEDM), 2011, pp. 212–219. [url] [bib]

    @inproceedings{CZX11,
      author = {Cheng, Yu and Zhang, Kunpeng and Xie, Yusheng and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Learning to Group Web Text Incorporating Prior Information},
      year = {2011},
      booktitle = {6th IEEE ICDM Workshop on Optimization Based Techniques for Emerging Data Mining Problems, (OEDM)},
      pages = {212--219}
    }
    
  32. K. Lee, D. Palsetia, R. Narayanan, M. Patwary, A. Agrawal, and A. Choudhary, “Twitter Trending Topic Classification,” in 6th IEEE ICDM Workshop on Optimization Based Techniques for Emerging Data Mining Problems, (OEDM), 2011, pp. 251–258. [url] [bib]

    @inproceedings{LPN11,
      author = {Lee, Kathy and Palsetia, Diana and Narayanan, Ramanathan and Patwary, Mostofa and Agrawal, Ankit and Choudhary, Alok},
      title = {Twitter Trending Topic Classification},
      year = {2011},
      booktitle = {6th IEEE ICDM Workshop on Optimization Based Techniques for Emerging Data Mining Problems, (OEDM)},
      pages = {251--258}
    }
    
  33. K. Zhang, Y. Cheng, Y. Xie, A. Agrawal, D. Palsetia, K. Lee, and A. Choudhary, “SES: Sentiment Elicitation System for Social Media Data,” in IEEE ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction, (SENTIRE), 2011, pp. 129–136. [url] [bib]

    @inproceedings{ZCX11,
      author = {Zhang, Kunpeng and Cheng, Yu and Xie, Yusheng and Agrawal, Ankit and Palsetia, Diana and Lee, Kathy and Choudhary, Alok},
      title = {SES: Sentiment Elicitation System for Social Media Data},
      year = {2011},
      booktitle = {IEEE ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction, (SENTIRE)},
      pages = {129--136}
    }
    

High Performance Computing

  1. D. Han, A. Agrawal, W.-keng Liao, and A. Choudhary, “A novel scalable DBSCAN algorithm with Spark,” in Proceedings of 5th IEEE IPDPS Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning), 2016, pp. 1393–1402. [url] [bib]

    @inproceedings{HAL16,
      author = {Han, Dianwei and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {A novel scalable DBSCAN algorithm with Spark},
      booktitle = {Proceedings of 5th IEEE IPDPS Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning)},
      pages = {1393-1402},
      year = {2016}
    }
    
  2. S. Lee, W.-keng Liao, A. Agrawal, N. Hardavellas, and A. Choudhary, “Evaluation of K-Means Data Clustering Algorithm on Intel Xeon Phi,” in Proceedings of IEEE BigData Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH), 2016, pp. 2251–2260. [url] [bib]

    @inproceedings{LLA16,
      author = {Lee, Sunwoo and Liao, Wei-keng and Agrawal, Ankit and Hardavellas, Nikos and Choudhary, Alok},
      title = {Evaluation of K-Means Data Clustering Algorithm on Intel Xeon Phi},
      booktitle = {Proceedings of IEEE BigData Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH)},
      pages = {2251-2260},
      year = {2016}
    }
    
  3. D. Palsetia, W. Hendrix, S. Lee, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication,” in High Performance Computing, 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings, 2016, pp. 98–115. [url] [bib]

    @inproceedings{PHL16,
      author = {Palsetia, Diana and Hendrix, William and Lee, Sunwoo and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication},
      booktitle = {High Performance Computing, 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings},
      pages = {98-115},
      year = {2016}
    }
    
  4. E. Rangel, N. Li, S. Habib, T. Peterka, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel DTFE Surface Density Field Reconstruction,” in Proceedings of IEEE Cluster, 2016, pp. 30–39. Won the best paper award. [url] [bib]

    @inproceedings{RLH16,
      author = {Rangel, Esteban and Li, Nan and Habib, Salman and Peterka, Tom and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Parallel DTFE Surface Density Field Reconstruction},
      booktitle = {Proceedings of IEEE Cluster},
      pages = {30-39},
      note = {Won the best paper award},
      year = {2016}
    }
    
  5. Y. Xie, Z. Chen, D. Palsetia, G. Trajcevski, A. Agrawal, and A. Choudhary, “Silverback+: Scalable Association Mining Via Fast List Intersection For Columnar Social Data,” Knowledge and Information Systems (KAIS), pp. 1–29, 2016. [url] [bib]

    @article{XCP16,
      author = {Xie, Yusheng and Chen, Zhengzhang and Palsetia, Diana and Trajcevski, Goce and Agrawal, Ankit and Choudhary, Alok},
      title = {Silverback+: Scalable Association Mining Via Fast List Intersection For Columnar Social Data},
      journal = {Knowledge and Information Systems (KAIS)},
      year = {2016},
      pages = {1-29}
    }
    
  6. Z. Yuan, W. Hendrix, S. W. Son, C. Federrath, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel Implementation of Lossy Data Compression for Temporal Data Sets,” in Proceedings of 23rd Annual International Conference on High Performance Computing, Data, and Analytics (HiPC’16), 2016, pp. 62–71. [url] [bib]

    @inproceedings{YHS16,
      author = {Yuan, Zheng and Hendrix, William and Son, Seung Woo and Federrath, Christoph and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Parallel Implementation of Lossy Data Compression for Temporal Data Sets},
      booktitle = {Proceedings of 23rd Annual International Conference on High Performance Computing, Data, and Analytics (HiPC'16)},
      pages = {62-71},
      year = {2016}
    }
    
  7. C. Jin, Z. Chen, W. Hendrix, A. Agrawal, and A. Choudhary, “Incremental, Distributed Single-Linkage Hierarchical Clustering Algorithm Using MapReduce,” in Proceedings of the 23rd High Performance Computing Symposium (HPC), 2015, pp. 83–92. [url] [bib]

    @inproceedings{JCH15,
      author = {Jin, Chen and Chen, Zhengzhang and Hendrix, William and Agrawal, Ankit and Choudhary, Alok},
      title = {Incremental, Distributed Single-Linkage Hierarchical Clustering Algorithm Using MapReduce},
      booktitle = {Proceedings of the 23rd High Performance Computing Symposium (HPC)},
      pages = {83-92},
      year = {2015}
    }
    
  8. C. Jin, Q. Fu, H. Wang, W. Hendrix, Z. Chen, A. Agrawal, A. Banerjee, and A. Choudhary, “Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective,” in Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2015, pp. 565–575. [url] [bib]

    @inproceedings{JFW15,
      author = {Jin, Chen and Fu, Qiang and Wang, Huahua and Hendrix, William and Chen, Zhengzhang and Agrawal, Ankit and Banerjee, Arindam and Choudhary, Alok},
      title = {Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective},
      booktitle = {Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)},
      pages = {565-575},
      year = {2015}
    }
    
  9. C. Jin, R. Liu, Z. Chen, W. Hendrix, A. Agrawal, and A. Choudhary, “A Scalable Hierarchical Clustering Algorithm Using Spark,” in Proceedings of IEEE International Conference on Big Data Computing Service and Applications (BigDataService), 2015, pp. 418–426. [url] [bib]

    @inproceedings{JLC15,
      author = {Jin, Chen and Liu, Ruoqian and Chen, Zhengzhang and Hendrix, William and Agrawal, Ankit and Choudhary, Alok},
      title = {A Scalable Hierarchical Clustering Algorithm Using Spark},
      booktitle = {Proceedings of IEEE International Conference on Big Data Computing Service and Applications (BigDataService)},
      pages = {418-426},
      year = {2015}
    }
    
  10. D. Palsetia, W. Hendrix, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel Distributed-Memory Based Community Detection for Large Graphs.” 2015. DARPA GRAPHS/SIMPLEX Workshop - Data, Algorithms and Problems on Graphs (DAPG), Sep 28, 2015, New York, NY (Poster). [url] [bib]

    @misc{PHA15,
      author = {Palsetia, Diana and Hendrix, William and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Parallel Distributed-Memory Based Community Detection for Large Graphs},
      note = {DARPA GRAPHS/SIMPLEX Workshop - Data, Algorithms and Problems on Graphs (DAPG), Sep 28, 2015, New York, NY (Poster)},
      year = {2015}
    }
    
  11. Z. Chen, S. W. Son, W. Hendrix, A. Agrawal, W.-keng Liao, and A. Choudhary, “NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing,” in Proceedings of 26th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC’14), 2014, pp. 733–744. [url] [bib]

    @inproceedings{CSH14,
      author = {Chen, Zhengzhang and Son, Seung Woo and Hendrix, William and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing},
      booktitle = {Proceedings of 26th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'14)},
      pages = {733-744},
      year = {2014}
    }
    
  12. S. Gupta, D. Palsetia, M. M. A. Patwary, A. Agrawal, and A. Choudhary, “A New Parallel Algorithm for Two-Pass Connected Component Labeling,” in Proceedings of IEEE IPDPS Workshop on Multithreaded Architectures and Applications (MTAAP), 2014, pp. 1355–1362. [url] [bib]

    @inproceedings{GPP14,
      author = {Gupta, Siddharth and Palsetia, Diana and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Choudhary, Alok},
      title = {A New Parallel Algorithm for Two-Pass Connected Component Labeling},
      booktitle = {Proceedings of IEEE IPDPS Workshop on Multithreaded Architectures and Applications (MTAAP)},
      pages = {1355-1362},
      year = {2014}
    }
    
  13. S. W. Son, Z. Chen, W. Hendrix, A. Agrawal, W.-keng Liao, and A. Choudhary, “Data Compression for the Exascale Computing Era - Survey,” Supercomputing Frontiers and Innovations, vol. 1, no. 2, pp. 76–88, 2014. [url] [bib]

    @article{SCH14,
      author = {Son, Seung Woo and Chen, Zhengzhang and Hendrix, William and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Data Compression for the Exascale Computing Era - Survey},
      journal = {Supercomputing Frontiers and Innovations},
      year = {2014},
      volume = {1},
      number = {2},
      pages = {76-88}
    }
    
  14. Y. Xie, D. Palsetia, G. Trajcevski, A. Agrawal, and A. Choudhary, “Silverback: Scalable Association Mining For Temporal Data in Columnar Probabilistic Databases,” in Proceedings of 30th IEEE International Conference on Data Engineering (ICDE), Industrial and Applications Track, 2014, pp. 1072–1083. [url] [bib]

    @inproceedings{XPT14,
      author = {Xie, Yusheng and Palsetia, Diana and Trajcevski, Goce and Agrawal, Ankit and Choudhary, Alok},
      title = {Silverback: Scalable Association Mining For Temporal Data in Columnar Probabilistic Databases},
      booktitle = {Proceedings of 30th IEEE International Conference on Data Engineering (ICDE), Industrial and Applications Track},
      pages = {1072-1083},
      year = {2014}
    }
    
  15. A. Agrawal, M. Patwary, W. Hendrix, W.-keng Liao, and A. Choudhary, “High performance big data clustering,” in Advances in Parallel Computing, Volume 23: Cloud Computing and Big Data, L. Grandinetti, Ed. IOS Press, 2013, pp. 192–211. [url] [bib]

    @inbook{APH13,
      author = {Agrawal, Ankit and Patwary, Mostofa and Hendrix, William and Liao, Wei-keng and Choudhary, Alok},
      title = {High performance big data clustering},
      editor = {Grandinetti, Lucio},
      booktitle = {Advances in Parallel Computing, Volume 23: Cloud Computing and Big Data},
      publisher = {IOS Press},
      year = {2013},
      pages = {192-211}
    }
    
  16. W. Hendrix, D. Palsetia, M. M. A. Patwary, A. Agrawal, W.-keng Liao, and A. Choudhary, “A Scalable Algorithm for Single-Linkage Hierarchical Clustering on Distributed Memory Architectures,” in Proceedings of 3rd IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV 2013), Atlanta GA, USA, Oct. 2013, 2013, pp. 7–13. [url] [bib]

    @inproceedings{HPP13,
      author = {Hendrix, William and Palsetia, Diana and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {A Scalable Algorithm for Single-Linkage Hierarchical Clustering on Distributed Memory Architectures},
      booktitle = {Proceedings of 3rd IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV 2013), Atlanta GA, USA, Oct. 2013},
      pages = {7-13},
      year = {2013}
    }
    
  17. C. Jin, Q. Fu, H. Wang, A. Agrawal, W. Hendrix, W.-keng Liao, M. M. A. Patwary, A. Banerjee, and A. Choudhary, “Solving Combinatorial Optimization Problems using Relaxed Linear Programming: A High Performance Computing Perspective,” in Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine), 2013, pp. 39–46. Won the best paper award. [url] [bib]

    @inproceedings{JFW13,
      author = {Jin, Chen and Fu, Qiang and Wang, Huahua and Agrawal, Ankit and Hendrix, William and Liao, Wei-keng and Patwary, Md. Mostofa Ali and Banerjee, Arindam and Choudhary, Alok},
      title = {Solving Combinatorial Optimization Problems using Relaxed Linear Programming: A High Performance Computing Perspective},
      booktitle = {Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine)},
      pages = {39-46},
      year = {2013},
      note = {**Won the best paper award**}
    }
    
  18. C. Jin, M. M. A. Patwary, A. Agrawal, W. Hendrix, W.-keng Liao, and A. Choudhary, “DiSC: A Distributed Single-Linkage Hierarchical Clustering Algorithm using MapReduce,” in Proceedings of the 4th International SC Workshop on Data Intensive Computing in the Clouds (DataCloud) 2013, 2013, pp. 1–6. [url] [bib]

    @inproceedings{JPA13,
      author = {Jin, Chen and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Hendrix, William and Liao, Wei-keng and Choudhary, Alok},
      title = {DiSC: A Distributed Single-Linkage Hierarchical Clustering Algorithm using MapReduce},
      booktitle = {Proceedings of the 4th International SC Workshop on Data Intensive Computing in the Clouds (DataCloud) 2013},
      pages = {1-6},
      year = {2013}
    }
    
  19. M. Patwary, D. Palsetia, A. Agrawal, W.-keng Liao, F. Manne, and A. Choudhary, “Scalable Parallel OPTICS Data Clustering Using Graph Algorithmic Techniques,” in Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC’13), 2013, pp. 1–12. Article No. 49. [url] [bib]

    @inproceedings{PPA13,
      author = {Patwary, Mostofa and Palsetia, Diana and Agrawal, Ankit and Liao, Wei-keng and Manne, Fredrik and Choudhary, Alok},
      title = {Scalable Parallel OPTICS Data Clustering Using Graph Algorithmic Techniques},
      booktitle = {Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'13)},
      year = {2013},
      note = {Article No. 49},
      pages = {1-12}
    }
    
  20. Y. Xie, Z. Chen, A. Agrawal, W.-keng Liao, and A. Choudhary, “Caranx: Scalable Social Image Index Using Phylogenetic Tree of Hashtags,” in Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC’13) (Poster paper), 2013, pp. 1–2. [url] [bib]

    @inproceedings{XCA13b,
      author = {Xie, Yusheng and Chen, Zhuoyuan and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Caranx: Scalable Social Image Index Using Phylogenetic Tree of Hashtags},
      booktitle = {Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'13) (Poster paper)},
      pages = {1-2},
      year = {2013}
    }
    
  21. A. R. Ganguly, E. Kodra, R. Oglesby, L. Buja, A. Agrawal, A. Banerjee, S. Boriah, S. Chatterjee, S. Chatterjee, A. Choudhary, D. Das, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W.-keng Liao, S. Liess, R. Mawalagedara, V. Mithal, H. Najm, K. Salvi, P. K. Snyder, K. Steinhaeuser, and D. Wuebbles, “Exploiting Big Data to Understand Climate Extremes and Assess their Impacts.” 2012. NASA Conference on Intelligent Data Understanding (CIDU), October 24-26, 2012 National Center for Atmospheric Research, Boulder, Colorado (Poster). [bib]

    @misc{GKO12,
      title = {Exploiting Big Data to Understand Climate Extremes and Assess their Impacts},
      author = {Ganguly, Auroop R. and Kodra, Evan and Oglesby, Robert and Buja, Lawrence and Agrawal, Ankit and Banerjee, Arindam and Boriah, Shyam and Chatterjee, Snigdhansu and Chatterjee, Soumyadeep and Choudhary, Alok and Das, Debasish and Ghosh, Subimal and Hayhoe, Katharine and Hays, Cindy and Hendrix, William and Fu, Qiang and Kawale, Jaya and Kumar, Devashish and Kumar, Vipin and Liao, Wei-keng and Liess, Stefan and Mawalagedara, Rachindra and Mithal, Varun and Najm, Habib and Salvi, Kaustubh and Snyder, Peter K. and Steinhaeuser, Karsten and Wuebbles, Don},
      year = {2012},
      note = {NASA Conference on Intelligent Data Understanding (CIDU), October 24-26, 2012 National Center for Atmospheric Research, Boulder, Colorado (Poster)}
    }
    
  22. W. Hendrix, M. M. A. Patwary, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel Hierarchical Clustering on Shared Memory Platforms,” in Proceedings of the 19th International Conference on High Performance Computing (HiPC), 2012, pp. 1–9. [url] [bib]

    @inproceedings{HPA12a,
      title = {Parallel Hierarchical Clustering on Shared Memory Platforms},
      author = {Hendrix, William and Patwary, Md. Mostofa Ali and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {Proceedings of the 19th International Conference on High Performance Computing (HiPC)},
      pages = {1-9},
      year = {2012}
    }
    
  23. D. Honbo, A. Pande, A. Agrawal, and A. Choudhary, “Hardware Architecture for Pairwise Statistical Significance Estimation in Bioinformatics Problems.” 2012. 25th International Conference on Very Large-Scale Integration design contest (VLSID). Design contest winner. [bib]

    @misc{HPA12b,
      title = {Hardware Architecture for Pairwise Statistical Significance Estimation in Bioinformatics Problems},
      author = {Honbo, Daniel and Pande, Amit and Agrawal, Ankit and Choudhary, Alok},
      note = {25th International Conference on Very Large-Scale Integration design contest (VLSID). **Design contest winner**},
      year = {2012}
    }
    
  24. M. Patwary, D. Palsetia, A. Agrawal, W.-keng Liao, F. Manne, and A. Choudhary, “A new scalable parallel DBSCAN algorithm using the disjoint-set data structure,” in ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2012, pp. 1–11. Article No. 62. [url] [bib]

    @inproceedings{PPA12,
      title = {A new scalable parallel DBSCAN algorithm using the disjoint-set data structure},
      author = {Patwary, Mostofa and Palsetia, Diana and Agrawal, Ankit and Liao, Wei-keng and Manne, Fredrik and Choudhary, Alok},
      booktitle = {ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
      pages = {1--11},
      year = {2012},
      note = {Article No. 62},
      organization = {IEEE}
    }
    
  25. Y. Zhang, S. Misra, A. Agrawal, M. M. A. Patwary, W.-keng Liao, Z. Qin, and A. Choudhary, “Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU’s power,” BMC Bioinformatics, vol. 13, no. Suppl 5, p. S3, 2012. [url] [bib]

    @article{ZMA12,
      title = {Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power},
      author = {Zhang, Yuhong and Misra, Sanchit and Agrawal, Ankit and Patwary, Md Mostofa A and Liao, Wei-keng and Qin, Zhiguang and Choudhary, Alok},
      journal = {BMC Bioinformatics},
      volume = {13},
      number = {Suppl 5},
      pages = {S3},
      year = {2012},
      publisher = {BioMed Central Ltd}
    }
    
  26. Y. Zhang, M. M. A. Patwary, S. Misra, A. Agrawal, W.-keng Liao, Z. Qin, and A. Choudhary, “Par-psse: Software for pairwise statistical significance estimation in parallel for local sequence alignment,” International Journal of Digital Content Technology and its Applications (JDCTA), vol. 6, no. 5, pp. 200–208, 2012. [url] [bib]

    @article{ZPM12,
      title = {Par-psse: Software for pairwise statistical significance estimation in parallel for local sequence alignment},
      author = {Zhang, Yuhong and Patwary, Md Mostofa Ali and Misra, Sanchit and Agrawal, Ankit and Liao, Wei-keng and Qin, Zhiguang and Choudhary, Alok},
      journal = {International Journal of Digital Content Technology and its Applications (JDCTA)},
      volume = {6},
      number = {5},
      pages = {200--208},
      year = {2012},
      publisher = {Advanced Institute of Convergence IT}
    }
    
  27. Y. Zhang, F. Zhou, J. Gou, H. Xiao, Z. Qin, and A. Agrawal, “Accelerating Pairwise Statistical Significance Estimation Using NUMA Machine,” Journal of Computational Information Systems (JCIS), vol. 8, no. 9, pp. 3887–3894, 2012. [url] [bib]

    @article{ZZG12,
      title = {Accelerating Pairwise Statistical Significance Estimation Using NUMA Machine},
      author = {Zhang, Yuhong and Zhou, Fan and Gou, Jianping and Xiao, Hua and Qin, Zhiguang and Agrawal, Ankit},
      journal = {Journal of Computational Information Systems (JCIS)},
      volume = {8},
      number = {9},
      pages = {3887--3894},
      year = {2012}
    }
    
  28. A. Agrawal, S. Misra, D. Honbo, and A. Choudhary, “Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library,” Concurrency and Computation: Practice and Experience, vol. 23, no. 17, pp. 2269–2279, 2011. [url] [bib]

    @article{AMH11,
      title = {Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library},
      author = {Agrawal, Ankit and Misra, Sanchit and Honbo, Daniel and Choudhary, Alok},
      journal = {Concurrency and Computation: Practice and Experience},
      year = {2011},
      volume = {23},
      number = {17},
      pages = {2269-2279},
      publisher = {Wiley-Blackwell}
    }
    
  29. Y. Zhang, S. Misra, D. Honbo, A. Agrawal, W.-keng Liao, and A. Choudhary, “Efficient pairwise statistical significance estimation for local sequence alignment using GPU,” in IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2011, pp. 226–231. [url] [bib]

    @inproceedings{ZMH11,
      title = {Efficient pairwise statistical significance estimation for local sequence alignment using GPU},
      author = {Zhang, Yuhong and Misra, Sanchit and Honbo, Daniel and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)},
      pages = {226--231},
      year = {2011},
      organization = {IEEE}
    }
    
  30. Y. Zhang, M. Patwary, S. Misra, A. Agrawal, W.-keng Liao, and A. N. Choudhary, “Enhancing parallelism of pairwise statistical significance estimation for local sequence alignment,” in HiPC Workshop on Hybrid Multi-core Computing (WHMC), 2011, pp. 1–8. [bib]

    @inproceedings{ZPM11,
      title = {Enhancing parallelism of pairwise statistical significance estimation for local sequence alignment},
      author = {Zhang, Yuhong and Patwary, M and Misra, Sanchit and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok N},
      booktitle = {HiPC Workshop on Hybrid Multi-core Computing (WHMC)},
      pages = {1--8},
      year = {2011}
    }
    
  31. A. Agrawal, S. Misra, D. Honbo, and A. Choudhary, “MPIPairwiseStatSig: Parallel Pairwise Statistical Significance Estimation of Local Sequence Alignment,” in Proceedings of the HPDC Workshop on Emerging Computational Methods for the Life Sciences (ECMLS), 2010, pp. 470–476. [url] [bib]

    @inproceedings{AMH10,
      author = {Agrawal, Ankit and Misra, Sanchit and Honbo, Daniel and Choudhary, Alok},
      title = {MPIPairwiseStatSig: Parallel Pairwise Statistical Significance Estimation of Local Sequence Alignment},
      year = {2010},
      booktitle = {Proceedings of the HPDC Workshop on Emerging Computational Methods for the Life Sciences (ECMLS)},
      pages = {470-476},
      organization = {ACM}
    }
    
  32. D. Honbo, A. Agrawal, and A. Choudhary, “Efficient pairwise statistical significance estimation using FPGAs,” Proceedings of BIOCOMP. pp. 571–577, 2010. [bib]

    @misc{HAC10,
      author = {Honbo, Daniel and Agrawal, Ankit and Choudhary, Alok},
      title = {Efficient pairwise statistical significance estimation using FPGAs},
      year = {2010},
      booktitle = {Proceedings of BIOCOMP},
      pages = {571-577}
    }
    

Astrophysics

  1. E. Rangel, N. Li, S. Habib, T. Peterka, A. Agrawal, W.-keng Liao, and A. Choudhary, “Parallel DTFE Surface Density Field Reconstruction,” in Proceedings of IEEE Cluster, 2016, pp. 30–39. Won the best paper award. [url] [bib]

    @inproceedings{RLH16,
      author = {Rangel, Esteban and Li, Nan and Habib, Salman and Peterka, Tom and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      title = {Parallel DTFE Surface Density Field Reconstruction},
      booktitle = {Proceedings of IEEE Cluster},
      pages = {30-39},
      note = {Won the best paper award},
      year = {2016}
    }
    

Bioinformatics

  1. A. Agrawal and A. Choudhary, “Software tools for sequence comparison, sequence mapping, and patient-specific healthcare outcome prediction.” 2016. 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Demo). [bib]

    @misc{AC16bcb,
      author = {Agrawal, Ankit and Choudhary, Alok},
      title = {Software tools for sequence comparison, sequence mapping, and patient-specific healthcare outcome prediction},
      note = {7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Demo)},
      year = {2016}
    }
    
  2. D. Honbo, A. Pande, A. Agrawal, and A. Choudhary, “Hardware Architecture for Pairwise Statistical Significance Estimation in Bioinformatics Problems.” 2012. 25th International Conference on Very Large-Scale Integration design contest (VLSID). Design contest winner. [bib]

    @misc{HPA12b,
      title = {Hardware Architecture for Pairwise Statistical Significance Estimation in Bioinformatics Problems},
      author = {Honbo, Daniel and Pande, Amit and Agrawal, Ankit and Choudhary, Alok},
      note = {25th International Conference on Very Large-Scale Integration design contest (VLSID). **Design contest winner**},
      year = {2012}
    }
    
  3. Y. Zhang, S. Misra, A. Agrawal, M. M. A. Patwary, W.-keng Liao, Z. Qin, and A. Choudhary, “Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU’s power,” BMC Bioinformatics, vol. 13, no. Suppl 5, p. S3, 2012. [url] [bib]

    @article{ZMA12,
      title = {Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power},
      author = {Zhang, Yuhong and Misra, Sanchit and Agrawal, Ankit and Patwary, Md Mostofa A and Liao, Wei-keng and Qin, Zhiguang and Choudhary, Alok},
      journal = {BMC Bioinformatics},
      volume = {13},
      number = {Suppl 5},
      pages = {S3},
      year = {2012},
      publisher = {BioMed Central Ltd}
    }
    
  4. Y. Zhang, M. M. A. Patwary, S. Misra, A. Agrawal, W.-keng Liao, Z. Qin, and A. Choudhary, “Par-psse: Software for pairwise statistical significance estimation in parallel for local sequence alignment,” International Journal of Digital Content Technology and its Applications (JDCTA), vol. 6, no. 5, pp. 200–208, 2012. [url] [bib]

    @article{ZPM12,
      title = {Par-psse: Software for pairwise statistical significance estimation in parallel for local sequence alignment},
      author = {Zhang, Yuhong and Patwary, Md Mostofa Ali and Misra, Sanchit and Agrawal, Ankit and Liao, Wei-keng and Qin, Zhiguang and Choudhary, Alok},
      journal = {International Journal of Digital Content Technology and its Applications (JDCTA)},
      volume = {6},
      number = {5},
      pages = {200--208},
      year = {2012},
      publisher = {Advanced Institute of Convergence IT}
    }
    
  5. Y. Zhang, F. Zhou, J. Gou, H. Xiao, Z. Qin, and A. Agrawal, “Accelerating Pairwise Statistical Significance Estimation Using NUMA Machine,” Journal of Computational Information Systems (JCIS), vol. 8, no. 9, pp. 3887–3894, 2012. [url] [bib]

    @article{ZZG12,
      title = {Accelerating Pairwise Statistical Significance Estimation Using NUMA Machine},
      author = {Zhang, Yuhong and Zhou, Fan and Gou, Jianping and Xiao, Hua and Qin, Zhiguang and Agrawal, Ankit},
      journal = {Journal of Computational Information Systems (JCIS)},
      volume = {8},
      number = {9},
      pages = {3887--3894},
      year = {2012}
    }
    
  6. A. Agrawal, A. Choudhary, and X. Huang, “Sequence-Specific Sequence Comparison Using Pairwise Statistical Significance,” in Software Tools and Algorithms for Biological Systems, vol. 696, H. R. Arabnia, Ed. Springer, 2011, pp. 297–306. [url] [bib]

    @inbook{ACH11,
      author = {Agrawal, Ankit and Choudhary, Alok and Huang, Xiaoqiu},
      editor = {Arabnia, H. R.},
      booktitle = {Software Tools and Algorithms for Biological Systems},
      title = {Sequence-Specific Sequence Comparison Using Pairwise Statistical Significance},
      volume = {696},
      publisher = {Springer},
      year = {2011},
      series = {Advances in Experimental Medicine and Biology, AEMB},
      pages = {297-306}
    }
    
  7. A. Agrawal and X. Huang, “Pairwise Statistical Significance of Local Sequence Alignment Using Sequence-Specific and Position-Specific Substitution Matrices,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 1, pp. 194–205, 2011. [url] [bib]

    @article{AH11,
      author = {Agrawal, Ankit and Huang, Xiaoqiu},
      title = {Pairwise Statistical Significance of Local Sequence Alignment Using Sequence-Specific and Position-Specific Substitution Matrices},
      journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},
      publisher = {IEEE},
      volume = {8},
      number = {1},
      pages = {194--205},
      year = {2011}
    }
    
  8. A. Agrawal, S. Misra, D. Honbo, and A. Choudhary, “Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library,” Concurrency and Computation: Practice and Experience, vol. 23, no. 17, pp. 2269–2279, 2011. [url] [bib]

    @article{AMH11,
      title = {Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library},
      author = {Agrawal, Ankit and Misra, Sanchit and Honbo, Daniel and Choudhary, Alok},
      journal = {Concurrency and Computation: Practice and Experience},
      year = {2011},
      volume = {23},
      number = {17},
      pages = {2269-2279},
      publisher = {Wiley-Blackwell}
    }
    
  9. S. Misra, A. Agrawal, W.-keng Liao, and A. Choudhary, “Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing,” Bioinformatics, vol. 27, no. 2, pp. 189–195, 2011. [url] [bib]

    @article{MAL11,
      title = {Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing},
      author = {Misra, Sanchit and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      journal = {Bioinformatics},
      volume = {27},
      number = {2},
      pages = {189--195},
      year = {2011},
      publisher = {Oxford Univ Press}
    }
    
  10. Y. Zhang, S. Misra, D. Honbo, A. Agrawal, W.-keng Liao, and A. Choudhary, “Efficient pairwise statistical significance estimation for local sequence alignment using GPU,” in IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2011, pp. 226–231. [url] [bib]

    @inproceedings{ZMH11,
      title = {Efficient pairwise statistical significance estimation for local sequence alignment using GPU},
      author = {Zhang, Yuhong and Misra, Sanchit and Honbo, Daniel and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
      booktitle = {IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)},
      pages = {226--231},
      year = {2011},
      organization = {IEEE}
    }
    
  11. Y. Zhang, M. Patwary, S. Misra, A. Agrawal, W.-keng Liao, and A. N. Choudhary, “Enhancing parallelism of pairwise statistical significance estimation for local sequence alignment,” in HiPC Workshop on Hybrid Multi-core Computing (WHMC), 2011, pp. 1–8. [bib]

    @inproceedings{ZPM11,
      title = {Enhancing parallelism of pairwise statistical significance estimation for local sequence alignment},
      author = {Zhang, Yuhong and Patwary, M and Misra, Sanchit and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok N},
      booktitle = {HiPC Workshop on Hybrid Multi-core Computing (WHMC)},
      pages = {1--8},
      year = {2011}
    }
    
  12. A. Agrawal, A. Choudhary, and X. Huang, “Derived Distribution Points Heuristic for Fast Pairwise Statistical Significance Estimation,” in Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology (BCB), 2010, pp. 312–321. [url] [bib]

    @inproceedings{ACH10a,
      author = {Agrawal, Ankit and Choudhary, Alok and Huang, Xiaoqiu},
      title = {Derived Distribution Points Heuristic for Fast Pairwise Statistical Significance Estimation},
      year = {2010},
      booktitle = {Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology (BCB)},
      pages = {312-321}
    }
    
  13. A. Agrawal, A. Choudhary, and X. Huang, “Non-conservative Pairwise Statistical Significance of Local Sequence Alignment Using Position-Specific Substitution Matrices,” Proceedings of BIOCOMP. pp. 262–268, 2010. [bib]

    @misc{ACH10b,
      author = {Agrawal, Ankit and Choudhary, Alok and Huang, Xiaoqiu},
      title = {Non-conservative Pairwise Statistical Significance of Local Sequence Alignment Using Position-Specific Substitution Matrices},
      year = {2010},
      booktitle = {Proceedings of BIOCOMP},
      pages = {262--268}
    }
    
  14. A. Agrawal, S. Misra, D. Honbo, and A. Choudhary, “MPIPairwiseStatSig: Parallel Pairwise Statistical Significance Estimation of Local Sequence Alignment,” in Proceedings of the HPDC Workshop on Emerging Computational Methods for the Life Sciences (ECMLS), 2010, pp. 470–476. [url] [bib]

    @inproceedings{AMH10,
      author = {Agrawal, Ankit and Misra, Sanchit and Honbo, Daniel and Choudhary, Alok},
      title = {MPIPairwiseStatSig: Parallel Pairwise Statistical Significance Estimation of Local Sequence Alignment},
      year = {2010},
      booktitle = {Proceedings of the HPDC Workshop on Emerging Computational Methods for the Life Sciences (ECMLS)},
      pages = {470-476},
      organization = {ACM}
    }
    
  15. A. Agrawal, A. Mittal, R. Jain, and R. Takkar, “Fuzzy-adaptive-thresholding-based exon prediction,” International Journal of Computational Biology and Drug Design, vol. 3, no. 4, pp. 311–333, 2010. [url] [bib]

    @article{AMJ10,
      title = {Fuzzy-adaptive-thresholding-based exon prediction},
      author = {Agrawal, Ankit and Mittal, Ankush and Jain, Rahul and Takkar, Raghav},
      journal = {International Journal of Computational Biology and Drug Design},
      volume = {3},
      number = {4},
      pages = {311--333},
      year = {2010},
      publisher = {Inderscience}
    }
    
  16. D. Honbo, A. Agrawal, and A. Choudhary, “Efficient pairwise statistical significance estimation using FPGAs,” Proceedings of BIOCOMP. pp. 571–577, 2010. [bib]

    @misc{HAC10,
      author = {Honbo, Daniel and Agrawal, Ankit and Choudhary, Alok},
      title = {Efficient pairwise statistical significance estimation using FPGAs},
      year = {2010},
      booktitle = {Proceedings of BIOCOMP},
      pages = {571-577}
    }
    
  17. A. Agrawal and X. Huang, “Pairwise Statistical Significance of Local Sequence Alignment Using Multiple Parameter Sets and Empirical Justification of Parameter Set Change Penalty,” BMC Bioinformatics, vol. 10, no. Suppl 3, p. S1, 2009. [url] [bib]

    @article{AH09a,
      author = {Agrawal, Ankit and Huang, Xiaoqiu},
      title = {Pairwise Statistical Significance of Local Sequence Alignment Using Multiple Parameter Sets and Empirical Justification of Parameter Set Change Penalty},
      year = {2009},
      journal = {BMC Bioinformatics},
      volume = {10},
      number = {Suppl 3},
      pages = {S1},
      publisher = {BioMed Central Ltd}
    }
    
  18. A. Agrawal and X. Huang, “PSIBLAST_PairwiseStatSig: Reordering PSI-BLAST hits using pairwise statistical significance,” Bioinformatics, vol. 25, no. 8, pp. 1082–1083, 2009. [url] [bib]

    @article{AH09b,
      author = {Agrawal, Ankit and Huang, Xiaoqiu},
      title = {PSIBLAST_PairwiseStatSig: Reordering PSI-BLAST hits using pairwise statistical significance},
      journal = {Bioinformatics},
      volume = {25},
      number = {8},
      pages = {1082-1083},
      year = {2009},
      publisher = {Oxford Univ Press}
    }
    
  19. A. Agrawal, V. Brendel, and X. Huang, “Pairwise Statistical Significance Versus Database Statistical Significance for Local Alignment of Protein Sequences,” in Bioinformatics Research and Applications, 2008, vol. 4983, pp. 50–61. [url] [bib]

    @inproceedings{ABH08a,
      author = {Agrawal, Ankit and Brendel, Volker and Huang, Xiaoqiu},
      title = {Pairwise Statistical Significance Versus Database Statistical Significance for Local Alignment of Protein Sequences},
      booktitle = {Bioinformatics Research and Applications},
      year = {2008},
      pages = {50-61},
      volume = {4983},
      series = {LNCS(LNBI)},
      publisher = {Springer Berlin/Heidelberg},
      editor = {Mandoiu, Ion and Sunderraman, Raj and Zelikovsky, Alexander}
    }
    
  20. A. Agrawal, V. P. Brendel, and X. Huang, “Pairwise Statistical Significance and Empirical Determination of Effective Gap Opening Penalties for Protein Local Sequence Alignment,” International Journal of Computational Biology and Drug Design, vol. 1, no. 4, pp. 347–367, 2008. [url] [bib]

    @article{ABH08b,
      author = {Agrawal, Ankit and Brendel, Volker P. and Huang, Xiaoqiu},
      title = {Pairwise Statistical Significance and Empirical Determination of Effective Gap Opening Penalties for Protein Local Sequence Alignment},
      year = {2008},
      journal = {International Journal of Computational Biology and Drug Design},
      volume = {1},
      number = {4},
      pages = {347-367},
      publisher = {Inderscience}
    }
    
  21. A. Agrawal, A. Ghosh, and X. Huang, “Estimating Pairwise Statistical Significance of Protein Local Alignments Using a Clustering-Classification Approach Based on Amino Acid Composition,” in Bioinformatics Research and Applications, 2008, vol. 4983, pp. 62–73. [url] [bib]

    @inproceedings{AGH08,
      author = {Agrawal, Ankit and Ghosh, Arka and Huang, Xiaoqiu},
      title = {Estimating Pairwise Statistical Significance of Protein Local Alignments Using a Clustering-Classification Approach Based on Amino Acid Composition},
      booktitle = {Bioinformatics Research and Applications},
      year = {2008},
      pages = {62-73},
      editor = {Mandoiu, Ion and Sunderraman, Raj and Zelikovsky, Alexander},
      volume = {4983},
      series = {LNCS(LNBI)},
      publisher = {Springer Berlin / Heidelberg}
    }
    
  22. A. Agrawal and X. Huang, “Pairwise Statistical Significance of Local Sequence Alignment Using Multiple Parameter Sets,” in Proc. of ACM 2nd International Workshop on Data and Text Mining in Bioinformatics (DTMBIO), 2008, pp. 53–60. [url] [bib]

    @inproceedings{AH08a,
      author = {Agrawal, Ankit and Huang, Xiaoqiu},
      title = {Pairwise Statistical Significance of Local Sequence Alignment Using Multiple Parameter Sets},
      year = {2008},
      booktitle = {Proc. of ACM 2nd International Workshop on Data and Text Mining in Bioinformatics (DTMBIO)},
      pages = {53-60}
    }
    
  23. A. Agrawal and X. Huang, “Pairwise Statistical Significance of Local Sequence Alignment Using Substitution Matrices with Sequence-Pair-Specific Distance,” in Proc. of International Conference on Information Technology, ICIT, 2008, pp. 94–99. Won the best student paper award. [url] [bib]

    @inproceedings{AH08b,
      title = {Pairwise Statistical Significance of Local Sequence Alignment Using Substitution Matrices with Sequence-Pair-Specific Distance},
      author = {Agrawal, Ankit and Huang, Xiaoqiu},
      booktitle = {Proc. of International Conference on Information Technology, ICIT},
      year = {2008},
      note = {**Won the best student paper award**},
      pages = {94-99}
    }
    
  24. A. Agrawal and X. Huang, “Pairwise DNA Alignment with Sequence Specific Transition-Transversion Ratio Using Multiple Parameter Sets,” in Proc. of International Conference on Information Technology, ICIT, 2008, pp. 89–93. [url] [bib]

    @inproceedings{AH08c,
      title = {Pairwise DNA Alignment with Sequence Specific Transition-Transversion Ratio Using Multiple Parameter Sets},
      author = {Agrawal, Ankit and Huang, Xiaoqiu},
      booktitle = {Proc. of International Conference on Information Technology, ICIT},
      pages = {89--93},
      year = {2008},
      organization = {IEEE}
    }
    
  25. A. Agrawal and X. Huang, “Conservative, Non-conservative and Average Pairwise Statistical Significance of Local Sequence Alignment,” in Proc. of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2008, pp. 433–436. [url] [bib]

    @inproceedings{AH08d,
      title = {Conservative, Non-conservative and Average Pairwise Statistical Significance of Local Sequence Alignment},
      author = {Agrawal, Ankit and Huang, Xiaoqiu},
      booktitle = {Proc. of IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
      year = {2008},
      pages = {433-436}
    }
    
  26. A. Agrawal and X. Huang, “DNAlignTT: Pairwise DNA Alignment with Sequence Specific Transition-Transversion Ratio,” in Proc. of IEEE International Conference on Electro/Information Technology (EIT), 2008, pp. 453–455. [url] [bib]

    @inproceedings{AH08e,
      author = {Agrawal, Ankit and Huang, Xiaoqiu},
      title = {DNAlignTT: Pairwise DNA Alignment with Sequence Specific Transition-Transversion Ratio},
      booktitle = {Proc. of IEEE International Conference on Electro/Information Technology (EIT)},
      year = {2008},
      pages = {453--455}
    }
    
  27. A. Agrawal and S. K. Khaitan, “A new heuristic for multiple sequence alignment,” in Proc. of IEEE International Conference on Electro/Information Technology (EIT) (Poster paper), 2008, pp. 215–217. [url] [bib]

    @inproceedings{AK08,
      title = {A new heuristic for multiple sequence alignment},
      author = {Agrawal, Ankit and Khaitan, Siddhartha K},
      booktitle = {Proc. of IEEE International Conference on Electro/Information Technology (EIT) (Poster paper)},
      pages = {215--217},
      year = {2008},
      organization = {IEEE}
    }
    
  28. A. Agrawal, A. Mittal, R. Jain, and R. Takkar, “An adaptive fuzzy thresholding algorithm for exon prediction,” in Proc. of IEEE International Conference on Electro/Information Technology (EIT) (Poster paper), 2008, pp. 211–214. [url] [bib]

    @inproceedings{AMJ08,
      title = {An adaptive fuzzy thresholding algorithm for exon prediction},
      author = {Agrawal, Ankit and Mittal, Ankush and Jain, Rahul and Takkar, Raghav},
      booktitle = {Proc. of IEEE International Conference on Electro/Information Technology (EIT) (Poster paper)},
      pages = {211--214},
      year = {2008},
      organization = {IEEE}
    }
    
  29. A. Agrawal and A. Mittal, “A dynamic time-lagged correlation based method to learn multi-time delay gene networks,” World Academy of Science, Engineering and Technology, vol. 9, pp. 723–730, 2007. [bib]

    @article{AM07,
      title = {A dynamic time-lagged correlation based method to learn multi-time delay gene networks},
      author = {Agrawal, Ankit and Mittal, Ankush},
      journal = {World Academy of Science, Engineering and Technology},
      volume = {9},
      pages = {723--730},
      year = {2007}
    }
    
  30. A. Agrawal, A. Mittal, and S. Gupta, “A Restrictive Mining Algorithm to Learn Multi Time Delay Gene Networks,” Bioinformatics Trends - A Journal of Bioinformatics and Its Applications, vol. 2, no. 3, 4, pp. 125–140, 2007. [bib]

    @article{AMG07,
      author = {Agrawal, Ankit and Mittal, Ankush and Gupta, Sumit},
      title = {A Restrictive Mining Algorithm to Learn Multi Time Delay Gene Networks},
      year = {2007},
      journal = {Bioinformatics Trends - A Journal of Bioinformatics and Its Applications},
      volume = {2},
      number = {3,4},
      pages = {125-140}
    }
    
  31. A. Agrawal, R. Jain, R. Takkar, and A. Mittal, “Exon prediction using a novel fuzzy logic based adaptive thresholding algorithm.” 2006. International Conference in Bioinformatics (InCoB), December 18-20, 2006, pp. P043.1-6 (Poster paper). [bib]

    @misc{AJT06a,
      title = {Exon prediction using a novel fuzzy logic based adaptive thresholding algorithm},
      author = {Agrawal, Ankit and Jain, Rahul and Takkar, Raghav and Mittal, Ankush},
      year = {2006},
      note = {International Conference in Bioinformatics (InCoB), December 18-20, 2006, pp. P043.1-6 (Poster paper)}
    }
    
  32. A. Agrawal, R. Jain, R. Takkar, and A. Mittal, “PCRPA: Protein-Coding Region Predictor and Analyzer - Exon Prediction Using Power Spectrum Estimation Methods.” 2006. Proceedings of the National Conference on IT and Its Application, pp. B107-B111. [bib]

    @misc{AJT06b,
      title = {PCRPA: Protein-Coding Region Predictor and Analyzer - Exon Prediction Using Power Spectrum Estimation Methods},
      author = {Agrawal, Ankit and Jain, Rahul and Takkar, Raghav and Mittal, Ankush},
      year = {2006},
      note = {Proceedings of the National Conference on IT and Its Application, pp. B107-B111}
    }
    
  33. A. Agrawal and A. Mittal, “Identifying temporal gene networks using signal processing metrics on time-series gene expression data,” in Proc. of 3rd International Conference on Intelligent Sensing and Information Processing (ICISIP), 2005, pp. 86–92. [url] [bib]

    @inproceedings{AM05,
      title = {Identifying temporal gene networks using signal processing metrics on time-series gene expression data},
      author = {Agrawal, A and Mittal, A},
      booktitle = {Proc. of 3rd International Conference on Intelligent Sensing and Information Processing (ICISIP)},
      pages = {86--92},
      year = {2005},
      organization = {IEEE}
    }
    
  34. A. Agrawal, A. Mittal, and S. Gupta, “Identifying Temporal Gene Networks by Mining Gene Expression Data,” in Proc. of 12th International Conference on Advanced Computing and Communications (ADCOM), 2004, pp. 194–200. [bib]

    @inproceedings{AMG04,
      title = {Identifying Temporal Gene Networks by Mining Gene Expression Data},
      author = {Agrawal, Ankit and Mittal, Ankush and Gupta, Sumit},
      booktitle = {Proc. of 12th International Conference on Advanced Computing and Communications (ADCOM)},
      pages = {194--200},
      year = {2004}
    }
    

Climate Informatics

  1. C. Jin, Q. Fu, H. Wang, W. Hendrix, Z. Chen, A. Agrawal, A. Banerjee, and A. Choudhary, “Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective,” in Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2015, pp. 565–575. [url] [bib]

    @inproceedings{JFW15,
      author = {Jin, Chen and Fu, Qiang and Wang, Huahua and Hendrix, William and Chen, Zhengzhang and Agrawal, Ankit and Banerjee, Arindam and Choudhary, Alok},
      title = {Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective},
      booktitle = {Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)},
      pages = {565-575},
      year = {2015}
    }
    
  2. A. R. Ganguly, E. Kodra, A. Agrawal, A. Banerjee, S. Boriah, S. Chatterjee, S. Chatterjee, A. Choudhary, D. Das, J. Faghmous, P. Ganguli, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W.-keng Liao, S. Liess, R. Mawalagedara, V. Mithal, R. Oglesby, K. Salvi, P. K. Snyder, K. Steinhaeuser, D. Wang, and D. Wuebbles, “Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques,” Nonlinear Processes in Geophysics, vol. 21, pp. 777–795, 2014. [url] [bib]

    @article{GKA14,
      author = {Ganguly, Auroop R. and Kodra, Evan and Agrawal, Ankit and Banerjee, Arindam and Boriah, Shyam and Chatterjee, Snigdhansu and Chatterjee, Soumyadeep and Choudhary, Alok and Das, Debasish and Faghmous, J and Ganguli, Poulomi and Ghosh, Subimal and Hayhoe, Katharine and Hays, Cindy and Hendrix, William and Fu, Qiang and Kawale, Jaya and Kumar, Devashish and Kumar, Vipin and Liao, Wei-keng and Liess, Stefan and Mawalagedara, Rachindra and Mithal, Varun and Oglesby, Robert and Salvi, Kaustubh and Snyder, Peter K. and Steinhaeuser, Karsten and Wang, Daiwei and Wuebbles, Don},
      title = {Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques},
      journal = {Nonlinear Processes in Geophysics},
      year = {2014},
      volume = {21},
      number = {},
      pages = {777-795}
    }
    
  3. Z. Chen, R. Liu, A. Agrawal, W.-keng Liao, V. Kumar, F. Semazzi, N. F. Samatova, and A. Choudhary, “EventForecaster: A Framework for Forecasting Extreme Events in Complex Dynamic Systems,” in Proceedings of Third International Workshop on Climate Informatics (CI), Boulder, Colorado, USA, Sep. 26-27, 2013, pp. 1–3. [url] [bib]

    @inproceedings{CLA13,
      author = {Chen, Zhengzhang and Liu, R and Agrawal, Ankit and Liao, Wei-keng and Kumar, Vipin and Semazzi, Fredrick and Samatova, Nagiza F. and Choudhary, Alok},
      title = {EventForecaster: A Framework for Forecasting Extreme Events in Complex Dynamic Systems},
      booktitle = {Proceedings of Third International Workshop on Climate Informatics (CI), Boulder, Colorado, USA, Sep. 26-27},
      pages = {1-3},
      year = {2013}
    }
    
  4. Z. Chen, Y. Xie, Y. Cheng, K. Zhang, A. Agrawal, W.-keng Liao, N. Samatova, and A. Choudhary, “Forecast Oriented Classification of Spatio-Temporal Extreme Events,” in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013, pp. 2952–2954. [url] [bib]

    @inproceedings{CXC13a,
      title = {Forecast Oriented Classification of Spatio-Temporal Extreme Events},
      author = {Chen, Zhengzhang and Xie, Yusheng and Cheng, Yu and Zhang, Kunpeng and Agrawal, Ankit and Liao, Wei-keng and Samatova, Nagiza and Choudhary, Alok},
      booktitle = {Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)},
      pages = {2952-2954},
      year = {2013}
    }
    
  5. C. Jin, Q. Fu, H. Wang, A. Agrawal, W. Hendrix, W.-keng Liao, M. M. A. Patwary, A. Banerjee, and A. Choudhary, “Solving Combinatorial Optimization Problems using Relaxed Linear Programming: A High Performance Computing Perspective,” in Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine), 2013, pp. 39–46. Won the best paper award. [url] [bib]

    @inproceedings{JFW13,
      author = {Jin, Chen and Fu, Qiang and Wang, Huahua and Agrawal, Ankit and Hendrix, William and Liao, Wei-keng and Patwary, Md. Mostofa Ali and Banerjee, Arindam and Choudhary, Alok},
      title = {Solving Combinatorial Optimization Problems using Relaxed Linear Programming: A High Performance Computing Perspective},
      booktitle = {Proceedings of the KDD Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine)},
      pages = {39-46},
      year = {2013},
      note = {**Won the best paper award**}
    }
    
  6. A. R. Ganguly, E. Kodra, R. Oglesby, L. Buja, A. Agrawal, A. Banerjee, S. Boriah, S. Chatterjee, S. Chatterjee, A. Choudhary, D. Das, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W.-keng Liao, S. Liess, R. Mawalagedara, V. Mithal, H. Najm, K. Salvi, P. K. Snyder, K. Steinhaeuser, and D. Wuebbles, “Exploiting Big Data to Understand Climate Extremes and Assess their Impacts.” 2012. NASA Conference on Intelligent Data Understanding (CIDU), October 24-26, 2012 National Center for Atmospheric Research, Boulder, Colorado (Poster). [bib]

    @misc{GKO12,
      title = {Exploiting Big Data to Understand Climate Extremes and Assess their Impacts},
      author = {Ganguly, Auroop R. and Kodra, Evan and Oglesby, Robert and Buja, Lawrence and Agrawal, Ankit and Banerjee, Arindam and Boriah, Shyam and Chatterjee, Snigdhansu and Chatterjee, Soumyadeep and Choudhary, Alok and Das, Debasish and Ghosh, Subimal and Hayhoe, Katharine and Hays, Cindy and Hendrix, William and Fu, Qiang and Kawale, Jaya and Kumar, Devashish and Kumar, Vipin and Liao, Wei-keng and Liess, Stefan and Mawalagedara, Rachindra and Mithal, Varun and Najm, Habib and Salvi, Kaustubh and Snyder, Peter K. and Steinhaeuser, Karsten and Wuebbles, Don},
      year = {2012},
      note = {NASA Conference on Intelligent Data Understanding (CIDU), October 24-26, 2012 National Center for Atmospheric Research, Boulder, Colorado (Poster)}
    }
    
  7. W. Hendrix, I. Tetteh, A. Agrawal, F. Semazzi, W.-keng Liao, and A. Choudhary, “Community Dynamics and Analysis of Decadal Trends in Climate Data,” in 3rd IEEE ICDM Workshop on Knowledge Discovery from Climate Data, (ClimKD), 2011, pp. 9–14. [url] [bib]

    @inproceedings{HTA11,
      author = {Hendrix, William and Tetteh, Isaac and Agrawal, Ankit and Semazzi, Fredrick and Liao, Wei-keng and Choudhary, Alok},
      title = {Community Dynamics and Analysis of Decadal Trends in Climate Data},
      year = {2011},
      booktitle = {3rd IEEE ICDM Workshop on Knowledge Discovery from Climate Data, (ClimKD)},
      pages = {9--14}
    }
    

Miscellaneous

  1. A. Mittal, S. Gupta, A. Agrawal, and L. F. Cheong, “Camera Motion Characterization of Establishment Shots and Video Signatures.” pp. 663–668, 2004. Proc. of 12th International Conference on Advanced Computing and Communications (ADCOM) (Poster paper). [bib]

    @misc{MGA04,
      title = {Camera Motion Characterization of Establishment Shots and Video Signatures},
      author = {Mittal, Ankush and Gupta, Sumit and Agrawal, Ankit and Cheong, LF},
      note = {Proc. of 12th International Conference on Advanced Computing and Communications (ADCOM) (Poster paper)},
      pages = {663--668},
      year = {2004}
    }