Scholar
Fuhai Li
Google Scholar ID: rVZfU9sAAAAJ
Washington University in St. Louis
Citations & Impact
Citations
3,080
H-index
24
i10-index
48
Publications
20
Co-authors
0
Publications
Resume (English only)
Research Experience
- Associate Professor at the Institute for Informatics (I2), Department of Pediatrics, and Computer Science & Engineering (CSE) of Washington University in St Louis (WashU). The lab specializes in integrative and interpretable graph AI and LLN model development, and applications in precision health and medicine (AI4PHM).
Background
- Research Interests: Modeling and interpreting large-scale, complex graphs. Particularly enthusiastic about developing interpretable graph AI (xGAI) models, graph representation learning, generating large-scale graph datasets, building graph foundation models, and graph understanding and reasoning via large language models (LLMs) and Graph AI models. Applications focus on AI for precision health and precision medicine (AI4PHM). Long-term goal is to develop graph foundation models and AI agents to automate graph understanding and reasoning in real-world systems, thereby speeding up scientific discovery in a scalable, robust, and trustworthy manner.
Miscellany
- Welcome to join FuhaiLiAI lab. If you are interested in our research, please contact me: Fuhai.Li@wustl.edu
Co-authors