The Stability of Data Exchange in Competitive Markets
When can competing firms exchange data stably? We characterize how customer rationality shapes the existence of core-stable exchanges.
OpenReviewComputer science & economics
Yuanchen Tang唐元宸 / Brian
I study how learning and incentives shape the way people and agents interact.
I am a second-year Ph.D. student in Computer Science at the University of Illinois Urbana-Champaign, where I am fortunate to be advised by Prof. Ruta Mehta and Prof. Bhaskar Ray Chaudhury. My research lies at the intersection of computer science and economics, particularly algorithmic game theory and machine learning. Recently, I have developed an interest in the interplay between AI and economics.
Previously, I received my B.S. in Computer Science from the Turing Class at Peking University, where I was fortunate to be supervised by Prof. Xiaotie Deng. I also had a wonderful research internship working with Prof. Steven Wu at Carnegie Mellon University in the summer of 2024.
- Algorithmic game theory
- AI economics
Selected papers
All publicationsSealed-bid Auctions on Blockchain with Timed Commitment Outsourcing
A practical sealed-bid auction protocol that outsources timed-commitment puzzles and incentivizes truthful reporting by bidders and solvers.
arXivBeyond research
I have played table tennis for over ten years and also enjoy basketball and baseball. I am a big Stephen Curry fan. Music is another constant in my life: I have a good sense of relative pitch and love listening to voices weave through a melody.
I enjoy meeting people and noticing patterns in everyday social interactions. That curiosity often finds its way back into the questions I ask in research.
My Erdős number is 3.