Multiple papers accepted by top conferences including NeurIPS'25, ICLR'24 (Oral), ICML'25, AAAI'25 (Oral); Invited as a PC member for ICLR'26 and a Senior PC member for AAAI'26.
Research Experience
Currently a Research Fellow at Nanyang Technological University (NTU), Singapore. Focused on developing efficient machine learning algorithms under limited supervision. Currently dedicated to exploring reinforcement learning techniques for training LLM-based agents deployed in real-world applications.
Education
Earned a PhD degree from the University of Electronic Science and Technology of China (UESTC) in 2024.
Background
Research interests include weakly-supervised machine learning (e.g., noisy-label learning, partial-label learning), AI safety (particularly backdoor and jailbreak attacks on vision-language models), and LLM-based agents.