Model Agnostic Sample Reweighting for Out-of-Distribution Learning, ICML 2022
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation
Research Experience
Currently pursuing a PhD at HKUST, focusing on Data-centric AI, Multi-modal Large Language Models (MLLM), and optimization algorithms.
Background
Currently a 3rd year PhD student in the CSE department of Hong Kong University of Science and Technology (HKUST), co-supervised by Professor Tong Zhang and Professor Xiaofang Zhou. Before that, an undergraduate student at the University of Hong Kong (HKU) majoring in Computer Engineering. Research interests mainly lie in Data-centric AI, Multi-modal Large Language Model (MLLM), and optimization algorithms.
Miscellany
In leisure time, enjoys playing basketball, jumping rope, and jogging. Also a music lover.