Hi there! I’m a final-year PhD student in Computer Science at UCLA, advised by Professor 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 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: multi-agent RL, human-in-the-loop learning, and large-scale training.
Goal: Physically-grounded, aligned and versatile robots.
Method: Imitation learning pretraining, closed-loop finetuning, and human-in-the-loop test-time adaptation.
