(P.C. my friend Chi Zhang)
Email: jiank2 [at] illinois [dot] edu
I am currently a 4th-year PhD student in the Department of Computer Science at University of Illinois at Urbana-Champaign (UIUC) and a member of iDEA Lab leaded by Dr. Hanghang Tong. My research interests mainly lie in large-scale data mining and machine learning on graphs.
Before joining UIUC, I obtained my BEng degree in Communications Engineering at Beijing University of Posts and Telecommunications and MCS degree in Computer Science at University of Virginia. Then I spent two years at Arizona State University as a PhD student in School of Computing, Informatics, and Decision Systems Engineering.
Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong. Graph Ranking Auditing: Problem Definitions and Fast Solutions. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. [Paper]
Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong. InFoRM: Individual Fairness on Graph Mining. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2020. [Paper] [Slides] [Code]
Jian Kang*, Scott Freitas*, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong. X-Rank: Explainable Ranking in Complex Multi-layered Networks. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), 2018. [Paper]
Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong. AURORA: Auditing PageRank on Large Graphs. In Proceedings of 2018 IEEE International Conference on Big Data (Big Data), 2018. [Paper] [Slides] [Code](check out the updated results in our TKDE paper)
Haichao Yu, Jian Kang, Yonglong Xia, Nan Cao, Hanghang Tong. Visual Mining of Multi-sourced Networks. In Proceedings of the 5th China Visualization and Visual Analytics Conference (ChinaVis), 2018.