EGC: Image Generation and Classification via a Diffusion Energy-Based Model, ICCV, 2023
Rethinking Resolution in the Context of Efficient Video Recognition, NeurIPS, 2022
Research Experience
Involved in multiple research projects including UniTok, Liquid, etc.
Education
Bachelor's degree in Computer Science from The University of Hong Kong (HKU); currently a Ph.D. student at CVMI Lab, HKU, supervised by Prof. Xiaojuan Qi.
Background
Primary research interest lies in open-world visual intelligence and multi-modal foundation models. Open to collaboration opportunities.