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 |
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.
Recent:
Current
Mr. Lihui Liu (Ph.D student, knowledge graph reasoning, on job market now)
Mr. Baoyu Jing (Ph.D student, spatial-temporal graph mining)
Mr. Yuchen Yan (Ph.D student, graph association mining)
Mr. Zhe Xu (Ph.D student, multi-network mining)
Ms. Xinyu He (Ph.D student, graph dynamics)
Ms. Eunice Chan (Ph.D student, fairness)
Mr. Zhining Liu (Ph.D student, graph mining)
Mr. Hyunsik Yoo (Ph.D student, recommendation)
Mr. Zhichen Zeng (Ph.D student, multi-network mining)
Mr. Xiao Lin (Ph.D student, networked time series)
Mr. Blaine Hill (Master's student, knowledge graphs)
Ms. Ishika Agarwal (Master's student, graph anomaly detection)
Mr. Ruizhong Qiu (Master's student, graph diffusion)
Dr. Yunyong Ko (Post-doc, hypergraph, on job market now)
Dr. Jun-Gi Jang (Post-doc, tensor)
Alumni
Dr. Boxin Du (Ph.D 2021, multi-network association]
Dr. Si Zhang (Ph.D 2021, network alignment)
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)
Dr. Rui Zhang (post-doc, 2019-2020, graph fusion)
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)
Mr. Zhe Xu (Master 2021, dense subgraphs)
Mr. Yuheng Zhang (Master 2022, batch active learning on graphs)
Mr. Shengyu Feng (Master 2022, graph contrastive learning)
Ms. Yian Wang (Master 2023, multi-view graph mining)
Mr. Zhichen Zeng (Master 2023, network alignment)
Mr. Derek Wang (Master's 2023, networked time series)
Recent Events:
Editor-in-Chief, ACM SIGKDD Explorations
PC co-chairs, CIKM 2021
PC co-chairs, CSoNet 2019
PC co-chairs, BigData20 workshop on graph techniques for adversarial activity modeling
Associate Editor, ACM Computing Surveys, since 2020
Full list: see my cv
IEEE ICDM 2022 10-Year Highest Impact Paper Award, 2022
Springer Knowl. Inf. Syst. (KAIS) on “Best-ranked paper of ICDM 2022”, 2022
Dean's Award for Excellence in Research, Associate Professor, 2022
IEEE Fellow, 2021 (for contributions to graph mining)
Excellent Paper Award, IEEE Big Data Mining and Analytics, 2021
Best Student Paper Runner-up, IEEE ICDM, 2021
ACM Distinguished Member, 2020
Teachers Ranked as Excellent, Spring 2020
IEEE ICDM Tao Li Award, 2019
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.