Published numerous papers on topics including trustworthy AI, large language model optimization, and healthcare applications; one paper, 'Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion,' gained significant attention on social media; another work, 'DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research,' received a Best Paper Honorable Mention at CIKM 2023; he also received the Doctoral Forum Travel Award at SDM 2024 and was admitted to the Future Leader Summit 2024.
Research Experience
Published multiple papers in top conferences such as AAAI, NeurIPS, EMNLP, and ACL, and has been involved in several research projects.
Education
Earned his Ph.D. in Computer Science from Rice University in 2025, under the guidance of Dr. Xia Hu and Dr. Vladimir Braverman.
Background
Currently an Assistant Professor in the Department of Computer Science at the University of North Carolina at Charlotte. His research focuses on Trustworthy AI, particularly the explainability, reliability, and safety of foundation models. He also collaborates closely with health informaticians at UTHealth and Baylor College of Medicine to address critical challenges in healthcare using AI.
Miscellany
Actively looking for self-motivated PhD students and research interns to join his team.