About me

I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at New York University. Working with Dr. Quanyan Zhu, I am currently focusing on the following topics.

• Learning theory for multi-agent systems
• Information structures in multi-agent decision-making

Lateset News

• Mar 2024: I presented our work on the Traffic-responsive Title Camera (TTC) Surveillance system at NYU Urban Research Day. TTC aims to make NYC’s cameras (more than 15000) smarter for high-precision real-time traffic situational awareness. The poster and the manuscript are available for download.

• Dec 2023: Our work on the Price of Transparency has been accepted by the 62nd Conference on Decision and Control. Do check it out.

• Aug 2023: I served as a technical program chair for the Cyber Resilience Workshop at the IEEE Conference on Communications and Network Security.

• July 2023: I presented our meta-Stackelberg game for robust federated learning at the International Conference on Machine Learning.

• May 2023: I shared our work on non-equilibrium learning in resilient traffic assignment at the American Control Conference.

• July 2022: I gave a talk on information structures in game-theoretic learning at the International Conference on Game Theory

• July 2022: I presented our recent thoughts on information structures and multi-agent reinforcement learning at the 2022 SIAM annual meeting.

• Mar 2022: Our review paper on the role of information structures in multi-agent learning has been accepted to Annual Reviews in Control.

• Aug 2021: Our review paper on game-theoretic learning over networks has been accepted by IEEE Control System Magazine.

• Feb 2021: Our work on extending Blackwell’s theory to Markov decision processes has been accepted to the Allerton Conference.

• Nov 2020: I presented our recent works on Correlated Learning over Networks at the 2020 INFORMS annual meeting.