Scholar
Jundong Li
Google Scholar ID: uY6ek7sAAAAJ
Associate Professor, University of Virginia
Citations & Impact
Citations
16,818
H-index
61
i10-index
138
Publications
20
Co-authors
121
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published over 150 papers with over 15,000 citations. Awards include SIGKDD Rising Star Award (2024), PAKDD Best Paper Award (2024), PAKDD Early Career Research Award (2023), NSF CAREER Award (2022), SIGKDD Best Research Paper Award (2022), JP Morgan Chase Faculty Research Award (2021 & 2022), and Cisco Faculty Research Award (2021). His group's research is supported by NSF, DOE, ONR, Commonwealth Cyber Initiative, Jefferson Lab, JP Morgan, Cisco, Netflix, and Snap.
Research Experience
- Part-time LinkedIn Research Scholar since summer 2022. Currently an Associate Professor at the Department of Electrical and Computer Engineering and the Department of Computer Science, University of Virginia.
Education
- Ph.D. in Computer Science from Arizona State University in 2019 (Advisor: Dr. Huan Liu); M.Sc. in Computer Science from the University of Alberta in 2014; B.Eng. in Software Engineering from Zhejiang University in 2012.
Background
- Research interests include graph machine learning, trustworthy/safe machine learning, and large language models. Broad research in data mining, machine learning, and AI, with a focus on graph neural networks, causality, fairness, interpretability, robustness, anomaly/ood detection, machine unlearning, attacks and defenses, model editing, in-context learning, and retrieval-augmented generation.
