I am an assistant professor at School of Data Science, The Chinese University of Hong Kong, Shenzhen. I work on the broad areas of reinforcement learning and game theory. My recent works have a specific focus on interactions of multiple agents in complicated tasks and games.

I obtained my Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong in 2020, fortunate to be advised by Siu On Chan and Andrej Bogdanov. Before that, I obtained my B.E. in Information Security from Shanghai Jiao Tong University in 2014, under Hai Zhao.

I am currently visiting Vector Institute at Toronto. I was visiting Vector Institute as a visiting researcher during Jan-Aug 2024, with Yaoliang Yu, and University of Waterloo as a visiting assistant professor during May-Aug 2023, with Pascal Poupart.

Education

2014 - 2020 Ph.D. The Chinese University of Hong Kong

2010 - 2014 B.E. Shanghai Jiao Tong University

Some topics I am currently investigating

• Reinforcement learning algorithms and specifically the LLM-RL and game-theoretic RL settings.
• Understanding and learning the interactions amid multiple intelligent agents in mechanism design problems and large-scale games.
• Ad-hoc topics in learning theory and game theory that I find interesting

Prospective students

I am recruiting PhD students for Fall 2026 enrollment (till April 2026). The degree will be issued by CUHK for PhD in Computer Science or PhD in Data Science, with a mark that the study in completed in the Shenzhen campus. The programs are similar to the ones in Hong Kong. See the program information.

For candidates, I care mostly about their math background and their motivation on working on new and explorative problems. Students are required to use AI tools to advance their research.

Contact

• Office: 503 DY, CUHK Shenzhen. Shenzhen, 518172
• Phone: +86 755 235-17020