Awarded the IBM PhD Fellowship 2022; Published multiple papers including 'M+: Extending MemoryLLM with Scalable Long-Term Memory' (ICML 2025), 'Large Scale Knowledge Washing' (ICLR 2025), etc.
Research Experience
Currently a researcher at the MIT-IBM Lab and an affiliate researcher at MIT CSAIL. Previously, was an intern at Microsoft Research and Google.
Education
Ph.D.: 2020 - 2024, University of California, San Diego (UCSD), U.S., Computer Science and Engineering, Advisor: Prof. Julian McAuley; B.S.: 2015 - 2019, Beijing Normal University (BNU), China, College of Information Science and Technology, Computer Science and Technology.
Background
Recently received a Ph.D. in Computer Science and Engineering from the University of California, San Diego, advised by Prof. Julian McAuley. Research focuses on advancing Trustworthy NLP to address high-stakes human-centric tasks, such as in human healthcare and college admission. His works utilize human-centered design, diagnose the shortcomings of existing models, and develop AI-driven solutions that are more responsible and better satisfy human needs in real life.
Miscellany
Invited to give talks at several international conferences, such as ICCV 2025, ICML 2025, ICLR 2025, and others.