Name: Wu Shuyuan
Title: Associate Professor
Research Direction: Distributed Computing, Federated Learning, Differential Privacy
Courses taught: Distributed Computing
E - mail：wushuyuan@mail.sufe.edu.cn
Research Project
Serial Number | Project Name | Project Number | Project Source | Start and End Time | Project Funding |
1 | Research on Statistical Theory and Methods of Federated Learning for Heterogeneous Data | No.12401392 | National Natural Science Foundation Youth Science Fund Project (Category C) | 2025-2027 | 300,000 |
Research Field
Resampling methods, distributed computing, federated learning, differential privacy, etc.
Education Experience
September 2019 - July 2023 PhD in Statistics Peking University
September 2015 - July 2019 Bachelor of Statistics Beijing Normal University
Work Experience
July 2026 – Present Associate Professor Shanghai University of Finance and Economics School of Statistics and Data Science
August 2023 – June 2026 Assistant Researcher Shanghai University of Finance and Economics School of Statistics and Data Science
Research Achievements
Leheng Cai; Qirui Hu*; Juntao Sun; Shuyuan Wu; Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy, Proceedings of the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
Shuyuan Wu; Jing Zhou*; Hansheng Wang; Class-Distributed Learning for Multinomial Logistic Regression with a High Dimensional Feature and a Large Number of Classes, Journal of Computational and Graphical Statistics, 2025, 34(1), 175-186.
Xuetong Li; Yuan Gao*; Hong Chang; Danyang Huang; Yingying Ma; Rui Pan; Haobo Qi;Feifei Wang; Shuyuan Wu; Ke Xu; Jing Zhou; Hansheng Wang, A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques, Statistical Theory and Related Fields, 2024, 8(3), 163-185.
Shuyuan Wu; Danyang Huang*; Hansheng Wang, Quasi-Newton Updating for Large-Scale Distributed Learning, Journal of the Royal Statistical Society, Series B: Statistical Methodology, 2023,85(4), 1326-1354.
Shuyuan Wu; Danyang Huang*; Hansheng Wang; Network Gradient Descent Algorithm for Decentralized Federated Learning, Journal of Business & Economic Statistics, 2023, 41(3): 806- 818.
Shuyuan Wu; Xuening Zhu*; Hansheng Wang; Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis with Limited Computational Resources, Statistica Sinica, 2023, 33: 2041-2064.
Feifei Wang; Tianchen Gao; Danyang Huang*; Shuyuan Wu*; Hansheng Wang, Sequential One-Step Estimator by Subsampling for Customer Churn Analysis with Massive Datasets, Journal of the Royal Statistical Society. Series C: Applied Statistics, 2022, 71(5): 1753-1786.
Xuening Zhu; Rui Pan; Shuyuan Wu*; Hansheng Wang; Feature Screening for Massive Data Analysis by Subsampling, Journal of Business & Economic Statistics, 2022, 40(4): 1892-1903.
Awards and Honors
Outstanding Doctoral Dissertation of Peking University 2023
Peking University Doctoral Student President's Scholarship 2022
