B.S. Information Security, China University of Mining and Technology
Courses Taught
CSC 405/605/705 Data Science
CSC 481/681/781 Principles of Computer Security
CSC 701 Doctoral Student Orientation
Research Interest
‘Data Security & AI Security with emphasis on Differential Privacy
Zheng Liu, Chen Gong, Terry Yue Zhuo, Zhou Yang, Kecen Li, Wenlong Meng, Xinwen Hou, Yu Liu, Xiaochen Li. PrivCode++: Latent-Conditioned Differentially Private Code Generation for Comprehensive Guarantees. Forty-Third International Conference on Machine Learning (ICML), 2026.
Xiaochen Li, Fengyu Gao, Xizixiang Wei, Tianhao Wang, Cong Shen, Jing Yang. HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings. Proceedings of the ACM on Management of Data (SIGMOD), 2026.
Quan Yuan, Xiaochen Li, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Shibo He, Jiming Chen, Zhikun Zhang. PrivATE: Differentially Private Average Treatment Effect Estimation for Observational Data. The Network and Distributed System Security Symposium (NDSS), 2026.
Kai Chen, Xiaochen Li, Chen Gong, Ryan Mckenna, Tianhao Wang. Benchmarking Differentially Private Tabular Data Synthesis. Proceedings of the ACM on Management of Data (SIGMOD), 2026.
Xiaochen Li, Tianyu Li, Yitian Cheng, Chen Gong, Kui Ren, Zhan Qin, Tianhao Wang. SPAS: Continuous Release of Data Streams under w-Event Differential Privacy. Proceedings of the ACM on Management of Data (SIGMOD), 2025.
Xiaochen Li, Zhan Qin, Kui Ren, Chen Gong, Shuya Feng, Yuan Hong, and Tianhao Wang. Delay-allowed Differentially Private Data Stream Release. The Network and Distributed System Security Symposium (NDSS), 2025.
Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Zhan Qin, and Kui Ren. Local Differential Private Heavy Hitter Detection in Streams with Bounded Memory Consumption. Proceedings of the ACM on Management of Data (SIGMOD), 2024.
