教育经历

2019.9—2024.7，北京大学数学科学学院，统计学专业，理学博士

2015.9—2019.7，北京大学数学科学学院，数学与应用数学专业，理学学士

工作经历

2024.8—至今，永利官网，304am永利集团，讲师

开设课程

2024-2025年秋季学期，强化学习 

研究方向

随机优化中的算法收敛性分析与不确定性量化

论文成果

(*表示共同一作或字母序)

Han, Y.*, Li, X.*, Lin, S.*, & Zhang, Z.* (2024). A random projection approach to personalized federated learning: Enhancing communication efficiency, robustness, and fairness. Journal of Machine Learning Research, 25(380), 1-88.

Han, Y., Xie, G., & Zhang, Z. (2024). Lower complexity bounds of finite-sum optimization problems: The results and construction. Journal of Machine Learning Research, 25(2), 1-86.

Lin, D.*, Han, Y.*, Ye, H., & Zhang, Z. (2023). Stochastic distributed optimization under average second-order similarity: Algorithms and analysis. Advances in Neural Information Processing Systems, 36, 1849-1862.

Liang, J., Han, Y., Li, X., & Zhang, Z. (2022). Asymptotic behaviors of projected stochastic approximation: a jump diffusion perspective. Advances in Neural Information Processing Systems, 35, 34664-34676.

Lin, S.*, Han, Y.*, Li, X., & Zhang, Z. (2022). Personalized federated learning towards communication efficiency, robustness and fairness. Advances in Neural Information Processing Systems, 35, 30471-30485.