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, NeruIPS, ICLR, WWW, SIGIR, WSDM, IJCAI, AAAI, SIGIR, ACL, EMNLP, CIKM, ICDM, SDM, ECML-PKDD, CSUR, TPAMI, TKDE, TKDD, TIST, etc), with over 10,000 citation count. He has won several prestigious awards, including SIGKDD Best Research Paper Award (2022), NSF CAREER Award (2022), PAKDD Early Career Research Award (2023), JP Morgan Chase Faculty Research Award (2021 & 2022), Cisco Faculty Research Award (2021), and being selected for the AAAI New Faculty Highlights roster (2021). His group's research is generously supported by NSF (CAREER, III, SaTC, SAI), DOE, Commonwealth Cyber Initiative, Jefferson Lab, JP Morgan, Cisco, and Snap.
Research Interests
Graph Machine Learning: Graph Neural Networks; Graph Foundation Models; Data-Efficient Learning; Fedearated Learning
Trustworthy Machine Learning: Causality; Fairness; Interpretation; Robustness
Safe Machine Learning: Anomaly/Out-of-Distribution Detection; Machine Unlearning; Attacks and Defenses
Large Language Models: Model Editing; Knowledge Alignment
AI/ML+X: Healthcare; E-commerce, Cybersecurity; Biology; Finance; Social Science; Infrastructure Systems
What's New (Archived)
2024/03: Honored to receive the UVA Engineering Research Innovation Awards (RIA) as PI on the project of "Toward 3D Graph Foundation Models for Molecular Property Prediction".
2024/03: My Ph.D. student Yushun Dong will join the Florida State University as a Tenure-track Assistant Professor from Fall 2024! He is looking for highly motivated Ph.D. students and reach out to him!
2024/03: Our paper on "Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation" is accepted by NAACL 2024. Congratulations to my student Haochen Liu for his first paper!
2024/03: Our demo paper about "Graph Learning Debiasing" is accepted by WWW 2024. Congratulations to all my students!
2024/01: I will give an invited talk about Trustworthy Graph Machine Learning in the CS Department of Rice University on February 1, 2024.
2024/01: Congratulations to Yaochen for having his paper "Collaborative Large Language Model for Recommender Systems" accepted by WWW 2024.
2024/01: Congratulations to Binchi for having his first paper " Adversarial Attacks on Fairness of Graph Neural Networks" accepted by ICLR 2024.
2023/12: Congratulations to Zihan for his first paper in ICASSP 2024.
2023/11: Glad to receive a Snap gift funding on "Inductive Recommendation on Large-scale Social Networks".
2023/10: Released a comprehensive survey paper on "Knowledge Editing in Large Language Model". Please check it out!
2023/10: Congratulations to my Ph.D. student Song Wang for receiving the UVA Engineering School 2023-24 Endowed Graduate Fellowship.
2023/08: Starting to serve as an Associate Editor for the ACM TKDD Journal.
2023/08: Glad to receive a Commonwealth Cyber Initiative grant "Weakly-supervised Federated Graph Learning for Cyber-Physical Systems" as PI.
2023/08: Glad to receive a DOE grant on "Graph Learning for Efficient and Explainable Operation of Particle Accelerators" with collaborators from Jefferson Lab.
2023/07: Glad to receive a 4-VA Collaborative Research Grant as Co-PI.
2023/05: Honored to receive the PAKDD 2023 Early Career Research Award!
2023/05: Congratulations to my Ph.D. student Jing Ma for succesfully defending her dissertation! She will join the Case Western Reserve University as a Tenure-track Assistant Professor from Fall 2023.
2023/05: Our group has 6 papers accepted by KDD 2023. Congratulations to my Ph.D. students Jing, Song, and Yaochen.
2023/05: Congratulations to my Ph.D. student Jing Ma for receiving the CS Department John A. Stankovic Graduate Research Award.
2023/04: Congratulations to my Ph.D. student Yushun Dong for receiving the ECE Department Louis T Rader Graduate Research Award (one of the only two awardees).
2023/04: Congratulations to my Ph.D. student Song Wang for receiving the ECE Department Ann Lee Brown Rookie of the Year Graduate Research Award (only one awardee).