Jundong Li

 

Assistant Professor
Department of Electrical and Computer Engineering
Department of Computer Science, and School of Data Science
University of Virginia

Office: E-226 Thornton Hall
Mail: 351 McCormick Road, P.O. Box 400743
Charlottesville, VA 22904-4743
Phone: 434-243-5451
Email: jundong at virginia dot edu

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, causal inference, and algorithmic fairness. As a result of his research work, he has published over 100 papers in high-impact venues (including KDD, WWW, NeruIPS, IJCAI, AAAI, WSDM, EMNLP, CIKM, ICDM, SDM, ECML-PKDD, CSUR, TPAMI, TKDE, TKDD, TIST, etc), with over 6,000 citation count. He has won several prestigious awards, including SIGKDD 2022 Best Research Paper Award, NSF CAREER Award, JP Morgan Chase Faculty Research Award, Cisco Faculty Research Award, and being selected for the AAAI New Faculty Highlights roster. His group's research is generously supported by NSF (CAREER, III, SaTC, SAI), Commonwealth Cyber Initiative, Jefferson Lab, JP Morgan, and Cisco.

Prospective Students: I have multiple (4~5) fully-funded Ph.D positions in the area of data mining, machine learning, and artificial intelligence. Please drop me an email with your CV and transcript if you are interested.

Call For Paper: I am co-editing a special topic of Causal Inference and Machine Learning with Network Data, please consider to submit! Check this page for more details.

What's New (More)

  • 2022/09: We will organize a tutorial on "Machine Learning for Causal Inference" at AAAI 2023.

  • 2022/09: One survey paper on Fderated Graph Machine Learning is accepted by SIGKDD Explorations.

  • 2022/09: Our group has two papers accepted by NeurIPS 2022 main track. Congratulations to my students Jing and Song.

  • 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.

  • 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.

  • 2022/08: We will organize a tutorial "Fairness in Graph Mining: Metrics, Algorithms, and Applications" at ICDM 2022.

  • 2022/07: An invited article is accepted by AI Magazine.

  • 2022/07: Honored to receive the JP Morgan Chase Faculty Research Award for "Counterfactual Graph Generation for Explaining Financial Decisions".

  • 2022/06: One paper is accepted by ECMLPKDD 2022.

  • 2022/05: Honored to recieve the NSF SaTC grant "SaTC: CORE: Small: Empowering Network Attack Detection with Complex Graph Modeling" as Co-PI.

  • 2022/05: Five papers are accepted by KDD 2022 Research Track. Congratulations to my students Yushun, Jing, Song, and Weihao.

  • 2022/05: Honored to receive the UVA ECE Department 2022 Faculty Research Award.

  • 2022/04: Honored to receive the 4-VA Collaborative Research Grant as PI for "Graph-based Cyber Attack Detection and Mitigation in Power Grids".

  • 2022/04: We released a comprehensive survey on "Fairness in Graph Mining". Please check it out.

  • 2022/04: One paper is accepted by IJCAI 2022. Congratulations to my student Song.

  • 2022/04: Honored to recieve the NSF CAREER Award as PI for "CAREER: Toward A Knowledge-Guided Framework for Personalized Decision Making".

  • 2022/04: One paper is accepted by IJCAI 2022 Survey Track.

  • 2022/04: One paper is accepted by NAACL 2022.

  • 2022/04: One short paper is accepted by SIGIR 2022. Congratulations to my student Zheng.