Resume
Academic Achievements
- Published several preprints and conference papers, including 'Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge' and 'Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data,' among others, presented at conferences such as EMNLP and ACL.
Research Experience
- Served as an author or co-author for multiple research projects, focusing on the safety, privacy protection, and efficient inference of large language models.
Education
- Ph.D. in Computer Science and Engineering from the Hong Kong University of Science and Technology (2016-2021), supervised by Yangqiu Song; B.Eng. in Computer Science and Engineering from South China University of Technology (2012-2016).
Background
- Currently an associate professor at Shien-Ming Wu School of Intelligent Engineering, South China University of Technology. My research area is natural language processing, with a focus on LLM Efficient Inference, LLM Privacy Protection, and LLM Safety.