About me

I am currently a 4th-year PhD student in the Department of Computer Science at University of Illinois at Urbana-Champaign. I work as a research assistant in the iDEA Lab leaded by my advisor Dr. Hanghang Tong. Before that, I received my MS degree in Computer Engineering from Arizona State University in 2015 and B.Eng degree in ECE from Xi'an Jiaotong University in 2014. My research interests are in large scale data mining and machine learning, especially graph mining.

Publications

Journal Papers

  • Incomplete Network Alignment: Problem Definitions and Fast Solutions [To be appeared.]
    Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
    ACM Transactions on Knowledge Discovery from Data (TKDD), 2019
  • Graph convolutional networks: a comprehensive review [pdf]
    Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski
    Computational Social Networks, 2019
  • Attributed Network Alignment: Problem Definitions and Fast Solutions [pdf]
    Si Zhang, Hanghang Tong
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018

Conference Papers

  • NetTrans: Neural Cross-Network Transformation
    Si Zhang, Hanghang Tong,, Yinglong Xia, Liang Xiong and Jiejun Xu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
  • Origin: Non-Rigid Network Alignment [pdf]
    Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski
    IEEE International Conference on Big Data (BigData), 2019
  • Multilevel Network Alignment [pdf][slides][code]
    Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad
    The Web Conference (WWW), 2019
  • Graph Convolutional Networks: Algorithms, Applications and Open Challenges [pdf] (Bests of CsoNet 2018)
    Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski
    IEEE International Conference on Computational Data & Social Networks (CsoNet), 2018
  • iNEAT: Incomplete Network Alignment [pdf][code]
    Si Zhang, Hanghang Tong, Jie Tang, Ji ejun Xu, Wei Fan
    IEEE International Conference on Data Mining (ICDM), 2017
  • A Local Algorithm for Structure-Preserving Graph Cut [pdf]
    Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
  • FIRST: Fast Interactive Attributed Subgraph Matching [pdf]
    Boxin Du, Si Zhang, Nan Cao, Hanghang Tong
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
  • HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection [pdf][slides][code]
    Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong
    SIAM International Conference on Data Mining (SDM), 2016
  • FINAL: Fast Attributed Network Alignment [pdf][slides][video][code]
    Si Zhang, Hanghang Tong
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016

Services

Program Committee: Big Data 2018, AAAI 2019, PAKDD 2019, SDM 2019, WWW 2019, IJCAI 2019, AAAI 2020, WWW 2020, SDM 2020.

Honors and Awards

  • SDM 2017 Student Travel Award
  • KDD 2016 Student Travel Award