Better Approximation for Interdependent SOS Valuations [arxiv]
(α-β) Pinyan Lu, Enze Sun, Chenghan Zhou
WINE 2022: The 18th Conference on Web and Internet Economics.
I am a second-year master student at Princeton University Theory of Computation group, where I am fortunately advised by Matt Weinberg.
My research focuses on the interface of Computer Science and Economics, where I am interested in leveraging algorithm design to expand the frontier of Economics theory. My main approach utilizes theoretical techniques from optimization, probabilistic theory, complexity, graph theory, etc. I had experience doing research in algorithmic information design, algorithmic auction design, and am currently devoting myself to understanding economic implications in blockchain.
I completed my undergraduate degree in Computer Science and Cognitive Science at University of Virginia, where I had the pleasure of working with Haifeng Xu (now at the Department of Computer Science and Data Science Institute at UChicago). After graduation, I spent a year working with Pinyan Lu as a visiting student at Shanghai University of Finance and Economics. Check here for my CV.
(α-β) Pinyan Lu, Enze Sun, Chenghan Zhou
WINE 2022: The 18th Conference on Web and Internet Economics.
Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen
UAI 2022: The 38th Conference on Uncertainty in Artificial Intelligence (also accepted to Games Journal).
Chenghan Zhou, Thanh H. Nguyen, Haifeng Xu
EC 2022: Proc. 23th ACM Conference on Economics and Computation, 2022.
Teaching Assistant & Preceptor
Teaching Assistant & Preceptor
Teaching Assistant
Teaching Assistant
Teaching Assistant
PC Member of AFT’23.
SIGecom Winter Meeting 2023 (Topic: Web3/Blockchain/Cryptocurrencies) Highlights.
Honorable Mentions of 2021 CRA Outstanding Undergraduate Researchers.