Research Scientist at Meta Platforms, Inc. Email: sizhang2 [at] illinois [dot] edu Address: 1 Hacker Way, Menlo Park, CA, 94025 [CV][Google Scholar]

Short Bio

I am currently an AI research scientist at Facebook AI Applied Reserach. Before that, I received my PhD degree from the Department of Computer Science at University of Illinois at Urbana-Champaign in 2021. I worked as a research assistant in the iDEA Lab led 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:

• Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He. High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. ACM Transactions on Knowledge Discovery from Data (TKDD), 2021. [pdf]

• Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan. Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Transactions on Knowledge Discovery from Data (TKDD), 2020. [pdf]

• Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski. Graph convolutional networks: a comprehensive review Computational Social Networks, 2019. [pdf]

• Si Zhang, Hanghang Tong. Attributed Network Alignment: Problem Definitions and Fast Solutions IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018. [pdf]

Conference Papers

• Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong. Destine: Dense Subgraph Detection on Multi-Layered Networks. ACM International Conference on Information and Knowledge Management (CIKM), 2021. [pdf]

• Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo. Balancing Consistency and Disparity in Network Alignment. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021. [pdf][slides][code]

• Yuchen Yan, Si Zhang, Hanghang Tong. BRIGHT: A Bridging Algorithm for Network Alignment. ACM The Web Conference (WWW), 2021. [pdf][slides][video]

• Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong. Ranking on Network of Heterogeneous Information Networks. IEEE International Conference on Big Data, 2020. [pdf]

• Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong. CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE International Conference on Big Data, 2020. [pdf]

• Si Zhang, Hanghang Tong. Network Alignment: Recent Advances and Future Directions. ACM International Conference on Information and Knowledge Management (CIKM), 2020. [pdf]

• Si Zhang, Hanghang Tong,, Yinglong Xia, Liang Xiong and Jiejun Xu. NetTrans: Neural Cross-Network Transformation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020. [pdf][slides][code]

• Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski. Origin: Non-Rigid Network Alignment. IEEE International Conference on Big Data (BigData), 2019. [pdf][slides]

• Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad. Multilevel Network Alignment. The Web Conference (WWW), 2019. [pdf][slides][code]

• Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski. Graph Convolutional Networks: Algorithms, Applications and Open Challenges. IEEE International Conference on Computational Data & Social Networks (CsoNet), 2018. (Bests of CsoNet 2018) [pdf]

• Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan. iNEAT: Incomplete Network Alignment. IEEE International Conference on Data Mining (ICDM), 2017. [pdf][slides][code]

• Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He. A Local Algorithm for Structure-Preserving Graph Cut. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. [pdf]

• Boxin Du, Si Zhang, Nan Cao, Hanghang Tong. FIRST: Fast Interactive Attributed Subgraph Matching. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. [pdf]

• Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong. HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. SIAM International Conference on Data Mining (SDM), 2016. [pdf][slides][code]

• Si Zhang, Hanghang Tong. FINAL: Fast Attributed Network Alignment. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. [pdf][slides][video][code]

Tutorials

• KDD 2021: New Frontiers of Multi-Network Mining: Recent Developments and Future Trend. [website][slides]

• CIKM 2020: Network Alignment: Recent Advances and Future Directions. [website][slides]

Public Services

• Program Committee: Big Data’18, AAAI’19, PAKDD’19, SDM’19, WWW’19, IJCAI’19, AAAI’20, WWW’20, SDM’20, PAKDD’20, ICML’20, IJCAI’20, ICDM’20, SDM’21, AAAI’21, ICLR’21, WWW’21, ICML’21, IJCAI’21, NeurIPS'21.

• Journal Reviews: DMKD, TKDD, TKDE, TPAMI, NeuralComputing, TNNLS.

Honors and Awards

• 2019: IEEE BigData Student Travel Award

• 2019: Computational Social Networks on “Bests of CSoNet 2018”

• 2017: SDM Student Travel Award

• 2016: KDD Student Travel Award