(P.C. my friend Chi Zhang)

Jian Kang

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 lies in large-scale data mining and machine learning with networked data.

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.

Publications

Journal Paper:

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. (to appear)

Conference Papers:

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. (to appear)
Jian Kang, Hanghang Tong. N2N: Network Derivative Mining. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. [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]
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.

(* indicates equal contribution.)

PhD (Computer Science), University of Illinois at Urbana-Champaign. 2019.8 - present
PhD (Computer Science), Arizona State University. 2017.8 - 2019.5
MCS (Computer Science), University of Virginia. 2015.8 - 2016.12
BEng (Communications Engineering), Beijing University of Posts and Telecommunications. 2010.9 - 2014.6

Teaching Assistant, CS412: Introduction to Data Mining, Hanghang Tong. University of Illinois at Urbana-Champaign, Fall 2020
Teaching Assistant, CSE575: Statistical Machine Learning, Hanghang Tong. Arizona State University, Fall 2018

Program Committee: ICML (2020)
External Reviewer: AAAI (2019), ACMMM (2018), CIKM (2018), DASFAA (2018, 2019), DSAA (2018), ICML (2019), IJCAI (2019), KDD (2018, 2019), NeurIPS (2020), PAKDD (2019), WSDM (2019, 2020), WWW (2018, 2020)
Journal Reviewer: CACM, TKDD, TKDE