Teaching experience includes courses such as 'Learning with Large Language and Vision Models', 'Computer Vision', and 'Machine Learning'; Invited to give talks at various workshops and conferences on topics related to visual intelligence, generative AI, etc.
Research Experience
Assistant Professor of Computer Science at NYU Courant; Previously a research scientist at Facebook AI Research (FAIR), Menlo Park; Interned at NEC Labs, Adobe, Facebook, Google, DeepMind during PhD study.
Education
Ph.D. and M.S. from CSE Department at UC San Diego, advised by Zhuowen Tu; Bachelor's degree from Shanghai Jiao Tong University.
Background
Research interests: Computer vision and machine learning. Brief introduction: Focused on developing scalable and reliable intelligent systems that can interpret visual events, answer questions about them, and develop a common sense understanding of the world.
Miscellany
Affiliated with NYU Center for Data Science; Part of the CILVR group.