Zhu Li's Homepage (Joined the UMKC faculty, re-directs to the new home )

About Me

Zhu Li (Bio, CV) is now an Associate Professor with the Dept of Computer Science & Electrical Engnieering (CSEE), University of Missouri,Kansas City, and director of the Multimedia Computing & Communication (MC^2) Lab. He received his PhD in Electrical & Computer Engineering from Northwestern University, Evanston in 2004. He was Sr. Staff Researcher/Sr. Manager with with Samsung Research America's Multimedia Standards Research Lab in Richardson, TX, 2012-2015, Sr. Staff Researcher/Media Analytics Group Lead with FutureWei (Huawei) Technology's Media Lab in Bridgewater, NJ, 2010~2012, and an Assistant Professor with the Dept of Computing, The Hong Kong Polytechnic University from 2008 to 2010, and a Principal Staff Research Engineer with the Multimedia Research Lab (MRL), Motorola Labs, from 2000 to 2008.

While on faculty at the Hong Kong Polytechnic University, he also served as CTO for the "big data" mobile music and visual search startup Mudi Technology Inc, which has successfully commercialized its music search product with China Mobile Shenzhen, and mobile query-by-capture for books and CDs with dangdang.com. [android demo app]

His research interests include audio-visual analytics and machine learning with its application in large scale video repositories annotation, mining and recommendation, video object identification and event recognition, as well as video adaptation, source-channel coding and distributed optimization issues of the wireless video networks. He has 25 issued or pending patents, 90+ publications in book chapters, journals, conference proceedings and standard contributions in these areas. He is an IEEE senior member, associated editor for IEEE Trans.on Multimedia, elected member (2014-2016) of the IEEE Multimedia Signal Processing (MMSP) Tech Committee, elected Vice Chair (2008-2010), Standards Liaison (2014-2016) of the IEEE Multimedia Communication Technical Committee (MMTC), member of the Best Paper Award Committee, ICME 2010, co-editor for the Springer-Verlag book on "Intelligent Video Communication: Techniques and Applications", and " Multimedia Analysis, Computing and Communication,". He received the Best Poster Paper Award at IEEE Int'l Conf on Multimedia & Expo (ICME), Toronto, 2006, and the Best Paper (DoCoMo Labs Innovative Paper) Award at IEEE Int'l Conf on Image Processing (ICIP), San Antonio, 2007.

I am serving as area chair for Image/Video Signal Processing, IEEE Int'l Conference on Multimedia & Expo , Torino, Italy, June 29-July 3, 2015 , and area chair for Image & Video Communication, and Multimedia Networks, IEEE Int'l Conf on Image Processing (ICIP), Quebec City, Canada, 2015 , and IEEE Conf on Visual Communication & Image Processing (VICP), Singapore, 2015.

Recruiting ! (details)

PhD Scholarship are available for 2 self motivated students working in area of, a) robust object re-identification against large scale data base, high efficiency local feature aggregation and hashing, b) device based deep learning engine for image understanding, speech UX, and subspace modeling and optimization on grassmannian manifolds with application in large scale face recognition, c) rate and adaptation agnostic content identification, de-duplication and delivery acceleration, next gen content centric networking, architecture and optimization.

Ideal candidates should have MS degree in CS/EE, and have solid programming skills in C/Python and Matlab. Desired course work including Linear Algebra, Probability & Statistics, Numerical Optimization. Visiting scholars are also welcome. If interested, please send me email at: lizhu@umkc.edu.

Recent Invited Talks

Compact Descriptors for Mobile Visual Search : MPEG CDVS/CDVA Standardization Efforts, invited tutorial at the MPEG US National Body Meeting ( ICNITS L3) meeting, hosted by Google, 2014/09.

Subspace Indexing on Grassmannian Manifold for Large Scale Visual Identification, given at EPFL/IBM Research/Northwestern Univ/Stevens Tech/Motorola Solutions Research/MIT Lincoln Lab/Beijing University.

Likelihood Pruning for Video Duplicate Detection and Localizaiton in Large Repositories, given at Microsoft Research Asia/Princeton University/Korean Adv Inst of Technology (KAIST).

Recent Papers

Z. Zheng, Z. Li, A. Nagar, and W. Kang, "Compact Deep Neural Network for Device Based Image Classification", submitted to IEEE Int'l Conf on Multimedia & Expo (ICME),

V. Fragoso, G. Srivastava, A. Nagar, Z. Li, K. Park, and M. Turk, "Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation", Proc of the 4th IEEE Int'l Workshop on Mobile Vision , Columbus, USA, 2014.

A. Nagar, Z. Li, G. Srivastava, and K. Park, "AKULA: Adaptive Cluster Aggregation for Visual Search", IEEE Data Compression Conference (DCC), 2014.

Z. Li, and I. Bouazizi, "Light Weight Content Fingerprinting for Video Playback Verification in MPEG DASH", Proceedings of IEEE PacketVideo, San Jose, 2013.

H. Xu, J. Wang, Z. Li, G. Zeng, S. Li,"Complementary Hashing for Approximate Nearest Neighbor Search", IEEE Int'l Conference on Computer Vision (ICCV), Barcelona, Spain, 2011.

X. Wang, Z. Li, and D. Tao, "Subspace Indexing on Grassmann Manifold for Large Scale Multimedia Retrieval", IEEE Trans. on Image Processing, vol.20(9): 2627-2635 (2011).

B. Liu, Z. Li, L. Lin, and M. Wang, "Real-Time Video Copy Location Detection in Large Scale Repository ", IEEE Multimedia. vol. 18(3): 22-31 (2011)

X. Wang, Z. Li, L. Zhang, and J. Yuan, "Grassmann Hashing for Approx Nearest Neighbour Search in High Dimensional Space", Proc. of IEEE Int'l Conf on Multimedia & Expo (ICME), Barcelona, Spain, 2011.

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