Education

2019.09-2024.07, Doctor of Natural Science in Statistics, Peking University

2015.09-2019.06, Bachelor of Science in Mathematics and Applied Mathematics, Peking University

Work Experience

2024.08-present, Assistant Professor, School of Statistics, Renmin University of China

Research Interests

Convergence analysis of algorithms and uncertainty quantification in stochastic optimization, online learning and inference

Publications

(* denotes equal contribution or alphabetical order)

1. Yuze Han*, Xiang Li*, Shiyun Lin*, Zhihua Zhang* (2024). "A random projection approach to personalized federated learning: Enhancing communication efficiency, robustness, and fairness." Journal of Machine Learning Research, 25(380), 1-88.

2. Yuze Han, Guangzeng Xie, Zhihua Zhang (2024). "Lower complexity bounds of finite-sum optimization problems: The results and construction." Journal of Machine Learning Research, 25(2), 1-86.

3. Dachao Lin*, Yuze Han*, Haishan Ye, Zhihua Zhang (2023). "Stochastic distributed optimization under average second-order similarity: Algorithms and analysis." Advances in Neural Information Processing Systems, 36, 1849-1862.

4. Jiadong Liang, Yuze Han, Xiang Li, Zhihua Zhang (2022). "Asymptotic behaviors of projected stochastic approximation: A jump diffusion perspective." Advances in Neural Information Processing Systems, 35, 34664-34676.

5. Shiyun Lin*, Yuze Han*, Xiang Li, Zhihua Zhang (2022). "Personalized federated learning towards communication efficiency, robustness and fairness." Advances in Neural Information Processing Systems, 35, 30471-30485.

Teaching

1. Undergraduate: Reinforcement Learning