Si Zhang
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Research Scientist at Meta Platforms, Inc.
Email: sizhang2 [at] illinois [dot] edu
Address: 1 Hacker Way, Menlo Park, CA, 94025
[CV][Google Scholar]
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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:
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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]
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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]
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Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski.
Graph convolutional networks: a comprehensive review
Computational Social Networks, 2019. [pdf]
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Si Zhang, Hanghang Tong.
Attributed Network Alignment: Problem Definitions and Fast Solutions
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018. [pdf]
Conference Papers
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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]
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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]
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Yuchen Yan, Si Zhang, Hanghang Tong.
BRIGHT: A Bridging Algorithm for Network Alignment.
ACM The Web Conference (WWW), 2021. [pdf][slides][video]
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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]
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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]
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Si Zhang, Hanghang Tong.
Network Alignment: Recent Advances and Future Directions.
ACM International Conference on Information and Knowledge Management (CIKM), 2020. [pdf]
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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]
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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]
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Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad.
Multilevel Network Alignment.
The Web Conference (WWW), 2019. [pdf][slides][code]
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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]
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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]
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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]
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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]
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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]
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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
Public Services
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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.
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Journal Reviews: DMKD, TKDD, TKDE, TPAMI, NeuralComputing, TNNLS.
Honors and Awards