Published a paper on wireless indoor navigation which won the best paper runner up at the Inductive Bias in Reinforcement Learning workshop at Reinforcement Learning Conference 2025; another work on game-theoretic transformer won the best paper runner up at the 17th workshop on Adaptive and Learning Agents.
Research Experience
Visited researcher at IBM Thomas J. Watson Research Center, collaborating with the Mathematical Sciences and Quantum Computing divisions.
Education
Ph.D. in Electrical and Computer Engineering from New York University, advised by Quanyan Zhu; conducted research in computational harmonic analysis under the supervision of Bin Han at the University of Alberta; B.S. in Mathematics, graduating summa cum laude from Xiamen University.
Background
I am an assistant professor in the Department of Systems Engineering at City University of Hong Kong. My research interests include multi-agent learning, information structures, and achieving certified robustness and resilience in AI-integrated network systems.