Name: Tu Jiyuan
Title: Assistant Professor
Research Direction: Statistical Learning Theory
Courses Taught: Computational Statistics
E - mail：tujiyuan@mail.shufe.edu.cn
Research Field
The intersection of statistics and optimization, including distributed learning, robust learning, reinforcement learning, Bayesian learning, etc.
Education Experience:
2013.9-2017.6 Shanghai Jiao Tong University, School of Mathematical Sciences, Mathematics and Applied Mathematics, Bachelor's Degree
2017.9-2023.3 Shanghai Jiao Tong University, School of Mathematical Sciences, Statistics, Doctorate
Work Experience
2023.3-2025.11 Shanghai University of Finance and Economics, School of Mathematics, Lecturer
2025.11-Present Shanghai University of Finance and Economics, School of Statistics and Data Science, Assistant Professor
Research Achievements
Tu, J., Liu, W., Mao, X., & Chen, X. (2021). Variance reduced median-of-means estimator for Byzantine-robust distributed inference. Journal of Machine Learning Research, 22(84), 1–67.
Tu, J., Liu, W., & Mao, X. (2023). Byzantine-robust distributed sparse learning for M-estimation. Machine Learning, 112, 3773–3804.
Tu, J., Liu, W., Mao, X., & Xu, M. (2024). Distributed semi-supervised sparse statistical inference. IEEE Transactions on Information Theory, 70(6), 4197–4217.
Tu, J., Liu, W., & Mao, X. (2024). Distributed estimation on semi-supervised generalized linear model. Journal of Machine Learning Research, 25(76), 1–41.
Liu, W., Tu, J., Mao, X., & Chen, X. (2024). Majority vote for distributed differentially private sign selection. The Annals of Statistics, 52(4), 1671–1690.
Liu, W., Tu, J., Chen, X., & Zhang, Y. (2025). Online estimation and inference for robust policy evaluation in reinforcement learning. The Annals of Statistics, 53(5), 2128–2152.
Liu, W., Mao, X., & Tu, J.* (2025). Communication-efficient distributed sparse learning with oracle property and geometric convergence. Journal of the American Statistical Association, to appear.
