Guanchu Wang
Scholar

Guanchu Wang

Google Scholar ID: _QL5218AAAAJ
Assistant Professor of Computer Science, University of North Carolina at Charlotte
InterpretabilityLarge Language ModelTrustworthy AI
Citations & Impact
All-time
Citations
1,153
 
H-index
14
 
i10-index
21
 
Publications
20
 
Co-authors
92
list available
Resume (English only)
Academic Achievements
  • 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.