Hi there! I’m a final-year PhD student in Computer Science at UCLA, advised by Prof. Bolei Zhou. Before UCLA, I earned my MPhil in the Multimedia Lab at the Chinese University of Hong Kong, and my Bachelor’s at Shanghai Jiao Tong University.
I am building foundation models and embodied agents that can reason about the world, align with human intent, and adapt in real time. Over the past 7 years, I’ve explored a wide spectrum of agent learning techniques: Reinforcement Learning (RL), multi-agent RL, human-in-the-loop learning, and simulation.
I am interested in applying various policy learning methods (IL, RL, preference, human-in-the-loop, etc.) for aligned and versatile models & robots.
