Published related papers in top-tier conferences and journals such as NeurIPS, ICLR, ACL, EMNLP, NAACL, and AAAI. For example:
- 'Pad: Personalized alignment of llms at decoding-time', ICLR 2025
- 'Learnable Privacy Neurons Localization in Language Models', ACL 2024
- 'Fast model debias with machine unlearning', Advances in Neural Information Processing Systems 2023
Research Experience
Visiting scholar at SUTD, advised by Prof. Tony Q.S. Quek; Intern at Tiktok, Bytedance.
Education
Ph.D. Student, Department of Computer Science, Zhejiang University, Sep. 2021 - present; B.S. in Electrical Engineering, Zhejiang University, Sep. 2017 - Jul. 2021, advised by Prof. Zuozhu Liu.
Background
Currently a PhD candidate at Zhejiang University, his research primarily focuses on the alignment of Large Language Models (LLMs), especially their fairness and personalization.