Guo, Zhishuai

11 publications

TMLR 2026 Communication-Efficient Federated AUC Maximization with Cyclic Client Participation Umesh-Vangapally, Wenhan Wu, Chen Chen, Zhishuai Guo

ICCV 2025 Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-Based Action Recognition Wenhan Wu, Zhishuai Guo, Chen Chen, Hongfei Xue, Aidong Lu

NeurIPS 2024 Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo, Tianbao Yang

ICML 2023 Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang

JMLR 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang

ICML 2023 FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang

ICLR 2022 Compositional Training for End-to-End Deep AUC Maximization Zhuoning Yuan, Zhishuai Guo, Nitesh Chawla, Tianbao Yang

NeurIPS 2021 An Online Method for a Class of Distributionally Robust Optimization with Non-Convex Objectives Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

ICML 2021 Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang

ECCV 2020 Accelerating Deep Learning with Millions of Classes Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang

ICML 2020 Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang