Zhishuai Guo

According to our database, Zhishuai Guo authored at least 32 papers between 2018 and 2026.

Collaborative distances:

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

2026

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks.

Zhishuai Guo, Wenhan Wu, Chen Chen, Lei Zhang, Olivera Kotevska, Ravi K. Madduri

CoRR, May, 2026

Unlocking Multi-Site Clinical Data: A Federated Approach to Privacy-First Child Autism Behavior Analysis.

Guangyu Sun, Wenhan Wu, Zhishuai Guo, Ziteng Wang, Pegah Khosravi, Chen Chen

CoRR, April, 2026

KHMP: Frequency-Domain Kalman Refinement for High-Fidelity Human Motion Prediction.

Wenhan Wu, Zhishuai Guo, Chen Chen, Srijan Das, Hongfei Xue, Pu Wang, Aidong Lu

CoRR, March, 2026

LimAgents: Multi-Agent LLMs for Generating Research Limitations.

Ibrahim Al Azher, Zhishuai Guo, Hamed Alhoori

CoRR, January, 2026

Communication-Efficient Federated AUC Maximization with Cyclic Client Participation.

Umesh Vangapally, Wenhan Wu, Chen Chen, Zhishuai Guo

CoRR, January, 2026

Communication-Efficient Federated AUC Maximization with Cyclic Client Participation.

Umesh-Vangapally, Wenhan Wu, Chen Chen, Zhishuai Guo

Trans. Mach. Learn. Res., 2026

2025

UniSTFormer: Unified Spatio-Temporal Lightweight Transformer for Efficient Skeleton-Based Action Recognition.

Wenhan Wu, Zhishuai Guo, Chen Chen, Aidong Lu

CoRR, August, 2025

Unified convergence analysis for adaptive optimization with moving average estimator.

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

Mach. Learn., April, 2025

FutureGen: LLM-RAG Approach to Generate the Future Work of Scientific Article.

Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori

CoRR, March, 2025

Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-Based Action Recognition.

Wenhan Wu, Zhishuai Guo, Chen Chen, Hongfei Xue, Aidong Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text.

Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article.

Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori

Proceedings of the IEEE International Conference on eScience, 2025

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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