Songlei Wang   王松磊

Assistant Professor

School of Artificial Intelligence
National Engineering Laboratory for Big Data System Computing Technology
Shenzhen University
Email: songlei.wang@szu.edu.cn

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 Songlei Wang

Biography

I am currently an Assistant Professor (“Hundred Talents Program”) in the School of Artificial Intelligence and the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University. I completed my Ph.D. in Computer Science and Technology at Harbin Institute of Technology, Shenzhen, under the supervision of Xiaohua Jia and Yifeng Zheng. Before that, I obtained my Master degree in Computer Technology from Harbin Institute of Technology, Shenzhen, under the supervision of Xiaohua Jia and Jiangang Shu, and obtained my Bachelor degree in Internet of Things from China University of Petroleum (East China).

I focus on utilizing secure multi-party computation techniques (such as secret sharing, differential privacy, etc.) to address various practical problems (such as privacy-preserving graph analysis and search, privacy-preserving machine learning, etc.).

Services

Journal reviewer

Conference reviewer/PC

Publications

  1. Songlei Wang, Yifeng Zheng, Xiaohua Jia, and Haibo Hu, "PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs", Proceedings of the VLDB Endowment, 2025.
  2. Songlei Wang, Yifeng Zheng, and Xiaohua Jia, "GraphGuard: Private Time-Constrained Pattern Detection Over Streaming Graphs in the Cloud", USENIX Security Symposium (BIG 4), 2024.
  3. Songlei Wang, Yifeng Zheng, Xiaohua Jia, and Cong Wang, "eGrass: An Encrypted Attributed Subgraph Matching System with Malicious Security", IEEE Transactions on Information Forensics and Security (TIFS), 2024.
  4. Songlei Wang, Yifeng Zheng, Xiaohua Jia, Qian Wang, and Cong Wang, "MAGO: Maliciously Secure Subgraph Counting on Decentralized Social Graphs", IEEE Transactions on Information Forensics and Security (TIFS), 2023.
  5. Songlei Wang, Yifeng Zheng, Xiaohua Jia, Hejiao Huang, and Cong Wang, "PrigSim: Towards Privacy-Preserving Graph Similarity Search as a Cloud Service", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
  6. Songlei Wang, Yifeng Zheng, and Xiaohua Jia, "SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service", IEEE Transactions on Services Computing (TSC), 2023.
  7. Songlei Wang, Yifeng Zheng, Xiaohua Jia, and Xun Yi, "Privacy-Preserving Analytics on Decentralized Social Graphs: The Case of Eigendecomposition", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
  8. Songlei Wang, Yifeng Zheng, Xiaohua Jia, and Xun Yi, "PeGraph: A System for Privacy-Preserving and Efficient Search over Encrypted Social Graphs", IEEE Transactions on Information Forensics and Security (TIFS), 2022.
  9. Songlei Wang, Yifeng Zheng, Xiaohua Jia, Hejiao Huang, and Cong Wang, "OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service", IEEE Transactions on Information Forensics and Security (TIFS), 2022.
  10. Jiangang Shu#, Songlei Wang#, Xiaohua Jia, Weizhe Zhang, Ruitao Xie, and Hejiao Huang, "Efficient Lane-Level Map Building via Vehicle-based Crowdsourcing", IEEE Transactions on Intelligent Transportation Systems (TITS), 2022.
  11. Adil Nawaz, Jianqiang Li, Victor C.M. Leung, Songlei Wang, and Jie Chen, "F2GP: Privacy-preserving Federated & Fast Gaussian Process Models with Support Set Optimization", IEEE Transactions on Dependable and Secure Computing (TDSC), 2026.
  12. Longji Li, Yifeng Zheng, Songlei Wang, Zhongyun Hua, Lei Xu, and Yansong Gao, "Privacy-Assured Analytics on Decentralized Graphs: The Case of Graph Learning", IEEE Trustcom, 2025.
  13. Huajie Ouyang, Yifeng Zheng, Songlei Wang, Zhongyun Hua, "OblivTime: Oblivious and Efficient Interval Skyline Query Processing over Encrypted Time-Series Data", IEEE Transactions on Services Computing (TSC), 2025.
  14. Yifeng Zheng, Weibo Wang, Songlei Wang, Zhongyun Hua, Yansong Gao, "ObliuSky: Oblivious User-Defined Skyline Query Processing in the Cloud", IEEE Transactions on Services Computing (TSC), 2024.
  15. Yifeng Zheng, Menglun Zhou, Songlei Wang, Zhongyun Hua, Jinghua Jiang, Yansong Gao, "Privacy-Preserving Competitive Detour Tasking in Spatial Crowdsourcing", IEEE Transactions on Services Computing (TSC), 2024.
  16. Yifeng Zheng, Tianchen Xiong, Huajie Ouyang, Songlei Wang, Zhongyun Hua, Yansong Gao, "SARA: A Sparsity-Aware Efficient Oblivious Aggregation Service for Federated Matrix Factorization", International Web Information Systems Engineering Conference (WISE), 2024.
  17. Weibo Wang, Yifeng Zheng, Songlei Wang, Zhongyun Hua, Lei Xu, and Yansong Gao, "BopSkyline: Boosting Privacy-Preserving Skyline Query Service in the Cloud", Computers & Security, 2024.
  18. Yifeng Zheng, Menglun Zhou, Songlei Wang, Hejiao Huang, Xiaohua Jia, Xun Yi, and Cong Wang, "SecDR: Enabling Secure, Efficient, and Accurate Data Recovery for Mobile Crowdsensing", IEEE Transactions on Dependable and Secure Computing (TDSC), 2023.
  19. Yifeng Zheng, Shuangqing Xu, Songlei Wang, Yansong Gao, and Zhongyun Hua, "Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables", IEEE Transactions on Services Computing (TSC), 2023.
  20. Menglun Zhou, Yifeng Zheng, Songlei Wang, Zhongyun Hua, Hejiao Huang, Yansong Gao, and Xiaohua Jia, "PPTA: A Location Privacy-Preserving and Flexible Task Assignment Service for Spatial Crowdsourcing", Computer Networks, 2023.
  21. Yifeng Zheng, Weibo Wang, Songlei Wang, Xiaohua Jia, Hejiao Huang, and Cong Wang, "SecSkyline: Fast Privacy-Preserving Skyline Queries over Encrypted Cloud Databases", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
"#" indicates equal contribution.

Awards