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 mining/graph machine learning, causal inference, and trustworthy AI. As a result of his research work, he has published over 130 papers in high-impact venues (including KDD, NeruIPS, IJCAI, AAAI, WWW, WSDM, SIGIR, EMNLP, CIKM, ICDM, SDM, ECML-PKDD, CSUR, TPAMI, TKDE, TKDD, TIST, etc), with over 7,500 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), Commonwealth Cyber Initiative, Jefferson Lab, JP Morgan, and Cisco.
What's New (More)
2023/07: One paper on Collaborative Graph Neural Network is accepted by TKDE.
2023/06: One paper on Graph Few-shot Learning is accepted by Transactions on Machine Learning Research (TMLR).
2023/06: One survey paper on Self-supervised Learning for Recommender Systems is accepted by TKDE.
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: Invited to serve as the Doctoral Forum Co-Chair of SDM 2024.
2023/05: Congratulations to my Ph.D. student Jing Ma for receiving the CS Department John A. Stankovic Graduate Research Award.
2023/05: One tutorial on "Fairness in Graph Machine Learning" is accepted by KDD 2023. Congratulations to my Ph.D. student Yushun Dong.
2023/05: One paper is accepted by ACL 2023. Congratulations to my new Ph.D. student Zhenyu Lei.
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).
2023/04: We will organize the first workshop on resource-efficient learning at KDD 2023.
2023/04: Our paper is accepted by SIGIR 2023. Congratulations to my Ph.D. student Yushun.
2023/04: Our survey paper on Fairness in Graph Mining is accepted by TKDE. Congratulations to my Ph.D. students Yushun Dong, Jing Ma, and Song Wang.
2023/03: Honored to receive the UVA Engineering Research Innovation Awards (RIA) as the Co-PI.
2023/03: One paper is accepted by ICHI 2023. Congratulations to my Ph.D. student Xingbo Fu.
2022/12: One paper is accepted by The Web Conference 2023.
2022/12: One paper is accepted by SDM 2023. Congratulations to my Ph.D. student Yushun Dong.
2022/12: Honored to recieve the Commonwealth Cyber Initiative grant "Attacking and Securing Algorithmic Fairness in Human Machine Interactions: A Cross-Disciplinary Framework" as the PI.
2022/11: One paper is accepted for a spotlight presentation by the inaugural Learning on Graphs Conference (LOG). Congratulations to my student Ph.D. Song Wang.
2022/11: One paper is accepted by AAAI 2023. Congratulations to my Ph.D. student Yushun Dong.
2022/11: Congratulations to my Ph.D. students Jing Ma and Yushun Dong for receiving the UVA Engineering School 2022-23 Endowed Graduate Fellowship.
2022/10: One paper is accepted by WSDM 2023. Congratulations to my Ph.D. student Song Wang.
2022/09: We will organize a tutorial on "Machine Learning for Causal Inference" at AAAI 2023.
2022/09: One survey paper on Federated Graph Machine Learning is accepted by SIGKDD Explorations. Congratulations to my Ph.D. student Xingbo Fu.
2022/09: Our group has two papers accepted by NeurIPS 2022 main track. Congratulations to my Ph.D. students Jing Ma and Song Wang.
2022/09: Two papers are accepted by NeurIPS 2022 Datasets and Benchmarks Track.
2022/08: Our paper "Learning Causal Effects on Hypergraphs" won the KDD 2022 Best Research Paper Award. Congratulations to my Ph.D. student Jing Ma
2022/08: Honored to recieve the NSF IIS Core grant "Collaborative Research: III: Small: Graph-Oriented Usable Interpretation" as the UVA PI.
2022/08: Honored to recieve the NSF SAI grant "Collaborative Research: SAI-R: Dynamical Coupling of Physical and Social Infrastructures: Evaluating the Impacts of Social Capital on Access to Safe Well Water" as the UVA PI.
2022/08: Honored to recieve the Commonwealth Cyber Initiative grant "Enhancing the Cyber-Physical Security of Power Grid with Graph Machine Learning" as the PI.