Jundong Li
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Assistant Professor |
Biography
Jundong Li is an Assistant Professor at the University of Virginia with appointments in Department of Electrical and Computer Engineering, Department of Computer Science, and School of Data Science. Since the summer of 2022, he has also been a part-time LinkedIn Research Scholar. Prior to joining UVA, he received his Ph.D. degree in Computer Science at Arizona State University in 2019 under the supervision of Dr. Huan Liu, M.Sc. degree in Computer Science at University of Alberta in 2014, and B.Eng. degree in Software Engineering at Zhejiang University in 2012.
His research interests are generally in data mining, machine learning, and AI in general, with a focus on graph machine learning, trustworthy/safe machine learning, and large language models. He has published over 150 papers in high-impact venues, with over 15,000 citation count. He has won several prestigious awards, including 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), among others. His group's research is generously supported by NSF (CAREER, III, SaTC, SAI, S&CC), DOE, ONR, Commonwealth Cyber Initiative, Jefferson Lab, JP Morgan, Cisco, Netflix, and Snap.
Research Interests
Graph Machine Learning: Graph Neural Networks; Data-Efficient Learning; Fedearated Learning; Graph Foundation Models
Trustworthy Machine Learning: Causality; Fairness; Interpretation; Robustness
Safe Machine Learning: Anomaly/OOD Detection; Machine Unlearning; Attacks and Defenses
Large Language Models: Model Editing; In-context Learning; Retrieval-Augmented Generation
AI/ML+X: Healthcare; Cybersecurity; Biology; Finance; Infrastructure Systems