Chenhao Zhang
PhD Student
Northwestern University
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About me
I am a PhD student at Northwestern University. My primiary research interest lies in the design and analysis of socio-economic, -political and legal systems with tools and prospectives from theoretical computer science. My current research focuses on the theoretical foudations of regulatory compliance of algorithms. I am also interested in programming language support for the regulation of algorithms.
Publications
- Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret
with Chang Wang and Jason D. Hartline
4rd ACM Computer Science and Law Symposium (2025) (CSLAW’25) - Regulating 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
Working Paper / Work in Progress
(titles are altered for works submitted for double-blind peer-review)
- Credit Attribution for Autoregressive Generative Models
with Aloni Cohen - 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
Presented at 2023 INFORMS Annual Meeting