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. 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 and machine learning, with a particular focus on graph machine learning, trustworthy/safe machine learning, and more recently on large language models. He has published over 150 papers in high-impact venues (including KDD, WWW, WSDM, NeurIPS, ICML, ICLR, IJCAI, AAAI, ACL, EMNLP, NAACL, SIGIR, CIKM, ICDM, SDM, ECML-PKDD, CSUR, TPAMI, TKDE, TKDD, TIST, etc), with over 14,000 citation count. He has won several prestigious awards, including SIGKDD Rising Star Award (2024), PAKDD Early Career Research Award (2023), PAKDD Best Paper Award (2024), 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
What's New (Archived)
2024/09: Glad to receive a CCI grant "Understanding the Vulnerability of Cyber-Physical Systems with Attack Paths Analysis with its Evaluation in UAV-IoT Networks" as PI.
2024/09: Congratulations to Yaochen Zhu for receiving the 2024 UVA SEAS Endowed Fellowship.
2024/08: Honored to receive the KDD 2024 Rising Star Award.
2024/08: Glad to receive a Netflix gift funding on "Large Language Model (LLM)-based Conversational Recommender Systems".
2024/08: Congratulations to Yaochen Zhu and Binchi Zhang for winning the 2024 UVA ECE Department Wilson Bicentennial Grad Fellowship.
2024/08: Glad to receive a Sole PI ONR grant on "Modeling and Predicting Causal Effects on Complex Networks". Thank you ONR!
2024/06: Glad to receive an NSF S&CC grant " SCC-IRG Track 1: Community-Responsive Electrified and Adaptive Transit Ecosystem (CREATE): Planning, Operations, and Management".
2024/06: My Ph.D. student Yushun Dong successfully defended his dissertation. He will join the Florida State University as a Tenure-track Assistant Professor from Fall 2024.
2024/05: Released a comprehensive survey paper on "Safety in Graph Machine Learning: Threats and Safeguards". Please check it out!
2024/05: Our paper "Interpreting Pretrained Language Models via Concept Bottlenecks" won the PAKDD 2024 Best Paper Award.
2024/05: Congrautlations to Tong Zhou for winning the UVA TYDE (Thriving Youth in a Digital Environment) Undergraduate Summer Research Fellow.
2024/05: Congratulations to Alexi Gladstone for winning the 2024 CS Department Louis T. R Undergraduate Research Award.
2024/04: Congratulations to Zihan Chen for winning the 2024 ECE Department Ann Lee Brown Rookie of the Year Graduate Research Award.