Chenhao Zhang
After several wonderful years at Northwestern University, I have graduated in August 2026 with a Ph.D. in Computer Science and an M.A. in Economics. My advisors at Northwestern were Jason D. Hartline and Christos Dimoulas.
(Post-graduation, this page is archived as of 08/28/2026.)
Publications
- The Computable but Not Learnable Information-Value-Free Equilibria and Regulation of Algorithmic Collusion
with Jason D. Hartline and Chang Wang
Twenty-Sixth ACM Conference on Economics and Computation (EC’26) - Barriers to Counterfactual Credit Attribution for Autoregressive Models
with Aloni Cohen
Forty-Third International Conference on Machine Learning (ICML’26) - Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret
with Jason D. Hartline and Chang Wang
4rd ACM Computer Science and Law Symposium (2025) (CSLAW’25) - Regulation of Algorithmic Collusion
with Jason D. Hartline and Sheng Long
3rd ACM Computer Science and Law Symposium (2024) (CSLAW’24) - Karp: A Language for NP Reductions
Chenhao Zhang, Jason D. Hartline and Christos Dimoulas
43rd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI’22) - Optimal Budget-Feasible Mechanisms for Additive Valuations
with Nick Gravin, Yaonan Jin and Pinyan Lu
ACM Transactions on Economics and Computation (TEAC) (2020) - From Packing Rules to Cost-Sharing Mechanisms
with Guochuan Zhang
Journal of Combinatorial Optimization (2020)
Prelimary version of this paper won Best Paper Award of COCOA’17
In Submission
(Titles are altered for double-blind peer-review)
- Iteration-wise Independence for Randomized While-Loopy Programs via Information Flow
Chenhao Zhang and Christos Dimoulas - iBuyer vs Agent: Transaction Mechanism for Housing Market
Chenhao Zhang, Yixin Lu and Luyi Gui
Major Revision, Management Science (as of August 2026)
Presented at 2023 INFORMS Annual Meeting