Published multiple papers in areas such as reinforcement learning, multi-agent systems, and game theory, including 'Mean Field Correlated Imitation Learning' (AAMAS 2025) and 'Efficient Reinforcement Learning with Large Language Model Priors' (ICLR 2025).
Research Experience
Visiting scientist at Center on Frontiers of Computing Studies (CFCS), Peking University; Research fellow at University College London.
Education
PhD in Computer Science from Peking University; Bachelor's degrees in Computer Science and Economics from Peking University.
Background
Associate Professor at Institute of Automation, Chinese Academy of Sciences (CASIA), leading the Collective Decision Intelligence Lab. Research areas include reinforcement learning, game AI, game theory, and computational advertising.