DIPPA: An improved Method for Bilinear Saddle Point Problems. - Guangzeng Xie; Yuze Han; Zhihua Zhang (CoRR, 2021)

Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective. - Jiadong Liang; Yuze Han; Xiang Li 050; Zhihua Zhang 004 (NeurIPS, 2022)

Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness. - Shiyun Lin; Yuze Han; Xiang Li 050; Zhihua Zhang 004 (NeurIPS, 2022)

Complete Asymptotic Analysis for Projected Stochastic Approximation and Debiased Variants. - Jiadong Liang; Yuze Han; Xiang Li 050; Zhihua Zhang 004 (Allerton, 2023)

Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis. - Dachao Lin; Yuze Han; Haishan Ye; Zhihua Zhang 004 (NeurIPS, 2023)

Technique Report of CVPR 2024 PBDL Challenges. - Ying Fu 001; Yu Li 003; Shaodi You; Boxin Shi; Jose Alvarez; Coert Van Gemeren; Linwei Chen; Yunhao Zou; Zichun Wang; Yichen Li; Yuze Han; Yingkai Zhang; et al. (CoRR, 2024)

Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction. - Yuze Han; Guangzeng Xie; Zhihua Zhang (J. Mach. Learn. Res., 2024)