Zhishuai Guo

According to our database, Zhishuai Guo authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generating empathetic responses through emotion tracking and constraint guidance.

Jing Li, Donghong Han, Zhishuai Guo, Baiyou Qiao, Gang Wu

Frontiers Comput. Sci., April, 2024

Communication-Efficient Federated Group Distributionally Robust Optimization.

Zhishuai Guo, Tianbao Yang

CoRR, 2024

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

J. Mach. Learn. Res., 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

Proceedings of the International Conference on Machine Learning, 2023

FeDXL: Provable Federated Learning for Deep X-Risk Optimization.

Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

FedX: Federated Learning for Compositional Pairwise Risk Optimization.

Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang

CoRR, 2022

Compositional Training for End-to-End Deep AUC Maximization.

Zhuoning Yuan, Zhishuai Guo, Nitesh V. Chawla, Tianbao Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Novel Convergence Analysis for Algorithms of the Adam Family.

Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

CoRR, 2021

Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization.

Zhishuai Guo, Tianbao Yang

CoRR, 2021

On Stochastic Moving-Average Estimators for Non-Convex Optimization.

Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

CoRR, 2021

Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity.

Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity.

Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Research on Cultivation of Innovation and Entrepreneurship Ability of Applied Talents under the Concept of "New Engineering".

Jing Gao, Zhishuai Guo, Yong Xiao

Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

2020

A Practical Online Method for Distributionally Deep Robust Optimization.

Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

CoRR, 2020

Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems.

Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang

CoRR, 2020

Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives.

Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang

CoRR, 2020

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks.

Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

Accelerating Deep Learning with Millions of Classes.

Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

A New Local Density for Density Peak Clustering.

Zhishuai Guo, Tianyi Huang, Zhiling Cai, William Zhu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018