Bio

Ph.D. Arizona State University, 2019M.Sc. University of Alberta, 2014B.Eng. Zhejiang University, 2012

Jundong Li is an Assistant Professor in the Department of Electrical and Computer Engineering, with a joint appointment in the Department of Computer Science, and School of Data Science. He received his Ph.D. degree in Computer Science at Arizona State University in 2019, 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 in data mining, machine learning, and social computing. As a result of his research work, he has published more than 50 papers in high-impact venues (including KDD, WWW, IJCAI, AAAI, WSDM, CIKM, ICDM, SDM, ECML-PKDD, CSUR, TKDD, TIST, etc), with over 1,000 citation count. He also leads the development of an open-source feature selection repository (scikit-feature) which has been reported by several news articles and blogs. He regularly serves on program committees for major international conferences and reviews for multiple journals.

Research Interests

  • Data Mining
  • Machine Learning
  • Social Computing

Selected Publications

  • “Interactive Anomaly Detection on Attributed Networks” ACM International Conference on Web Search and Data Mining (WSDM), 2019 Kaize Ding, Jundong Li, Huan Liu
  • “A Survey of Learning Causality with Data: Problems and Methods” ArXiv:1809.09337, 2018 Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
  • “Feature Selection: A Data Perspective” ACM Computing Surveys (CSUR), 2018 Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert Trevino, Jiliang Tang, Huan Liu
  • “Unsupervised Personalized Feature Selection” AAAI Conference on Artificial Intelligence (AAAI), 2018 Jundong Li, Liang Wu, Harsh Dani, Huan Liu
  • “Understanding and Predicting Delay in Reciprocal Relations” International Conference on World Wide Web (WWW), 2018 Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
  • “Attributed Network Embedding for Learning in a Dynamic Environment” ACM International Conference on Information and Knowledge Management (CIKM), 2017 Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
  • “Label Informed Attributed Network Embedding” ACM International Conference on Web Search and Data Mining (WSDM), 2017. Xiao Huang, Jundong Li, Xia Hu
  • “Accelerated Attributed Network Embedding” SIAM International Conference on Data Mining (SDM), 2017 Xiao Huang, Jundong Li, Xia Hu
  • “Robust Unsupervised Feature Selection on Networked Data” SIAM International Conference on Data Mining (SDM), 2016 Jundong Li, Xia Hu, Liang Wu, Huan Liu