Hanghang Tong

Basic Information

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Associate Professor

Department of Computer Science

University of Illinois at Urbana-Champaign

201 N Goodwin Ave, Urbana, IL 61801

Email: htong AT illinois DOT edu

[short bio] [cv]



The main focus of IDEA Lab@UIUC lies in large scale data mining and machine learning, especially for graph and multimedia data with applications to social networks analysis, healthcare, cyber-security and e-commerce.



Lab Members

  • Dr. Liangyue Li (Ph.D 2018, team performance)

  • Dr. Chen Chen (Ph.D 2019, network connectivity optimization)

  • Dr. Xing Su (Ph.D 2017, mobile mining)

  • Mr. Si Zhang (Ph.D student, network alignment)

  • Mr. Boxin Du (Ph.D student, subgraph matching)

  • Mr. Qinghai Zhou (Ph.D student, graph similarity)

  • Mr. Jian Kang (Ph.D student, explainable graph mining)

  • Mr. Lihui Liu (Ph.D student, subgraph matching)

  • Mr. Baoyu Jing (Ph.D student, graph mining)

  • Mr. Yuchen Yan (Ph.D student, graph mining)

  • Mr. Zhe Xu (master student, knowledge graphs)

  • Mr. Scott Freitas (BS 2017, master 2018, pathway mining)

  • Mr. Haichao Yu (master 2018, multi-layered networks)

  • Ms. Ruiyue Peng (Master 2016, network connectivity)

  • Mr. Rongyu Lin (Master 2016, team performance)

  • Mr. Xiaoyu Zhang (Master 2017, team performance and network completion)



  • Recent Events:

    • Editor-in-Chief, ACM SIGKDD Explorations

    • PC co-chairs, CSoNet 2019

    • PC co-chairs, BigData18 workshop on graph techniques for adversarial activity modeling

    • Action editor, Springer DMKD (since 2016)

  • Full list: see my cv

Honors and Awards

  • SDM/IBM Early Career Data Mining Research Award, 2018

  • ICWSM Best Reviewer Award, 2018

  • NSF CAREER award, 2017

  • ASU CIDSE Best Researcher Award – Junior Faculty, 2017

  • ACM CIKM’17 Best Demo Candidate (Second Place), 2017

  • SIGMOD’17 Best Demo, Honorable Mention, 2017

  • ACM TKDD on “Bests of KDD 2016”, 2016

  • 10-Year Highest-Impact Paper Award, The 15th IEEE International Conference on Data Mining (ICDM), 2015.

  • Knowl. Inf. Syst. (KAIS) on “Bests of ICDM 2015”, 2015.

  • Best Paper Award, IEEE Tsinghua Science and Technology, 2015.

  • Statistical Analysis and Data Mining on “Bests of SDM 2015”, 2015.

  • Best Paper Award, The 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012.

  • IBM Research Accomplishment Award on “Social and Cognitive Network Science”, 2012.

  • Statistical Analysis and Data Mining on “Bests of SDM 2011”, 2011.

  • Frontiers of Computer Science on “Bests of ICDM 2010”, 2010.

  • Best Paper Award, 2008 SIAM Conference on Data Mining (SDM), 2008

  • Best Research Paper Award, The 6th IEEE International Conference on Data Mining (ICDM), 2006.