I am a second-year PhD student in Computer Science Department, UCLA, advised by Prof. Song-Chun Zhu. As a member of Center for Vision, Cognition, Learning and Autonomy (VCLA), I am also actively advised by Prof. Ying Nian Wu. I obtained BEng degree in Computer Science from The Hong Kong University of Science and Technology (HKUST), advised by Prof. Fangzhen Lin.
My current research focuses on learning representations of core cognitive knowledge (e.g., object, geometry, physics) and high-level abstract concepts (e.g., category, relation, utility) for out-of-distribution reasoning and generalized (inverse) planning. The ultimate goal is to endow embodied agents with a computational framework to develop language and knowledge from interaction and communication. I draw inspiration broadly from classical AI, cognitive science, and computational neuroscience, etc. Previously, I studied (Inverse) Reinforcement Learning and Multi-agent System. My works on the SNAS series pioneer the field of Differentiable Neural Architecture Search.