Published multiple papers in top international conferences such as ICLR 2025, ICML 2025, NAACL 2025, with one paper accepted as an oral presentation at ICLR 2025. Additionally, several papers are available on arXiv.
Research Experience
Entered the University of Maryland (UMD) as a Ph.D. Candidate in Computer Science in August 2023.
Education
Currently a third-year Ph.D. student in Computer Science at the University of Maryland, advised by Prof. Tianyi Zhou; previously earned M.S. and B.Eng in Computer Science from ShanghaiTech University, with research areas including mixture of experts, domain generalization, and ensemble learning.
Background
Research interests include efficient machine learning methods, computer vision, natural language processing, and multi-modality. Particularly passionate about developing adaptive and personalized machine learning models.