Zhishuai Guo - RankMe

34 papers A* 7Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Communication-Efficient Federated AUC Maximization with Cyclic Client Participation. CoRR Umesh Vangapally, Wenhan Wu, Chen Chen, Zhishuai Guo
2026	J	`jnl`	Communication-Efficient Federated AUC Maximization with Cyclic Client Participation. Trans. Mach. Learn. Res. Umesh-Vangapally, Wenhan Wu, Chen Chen, Zhishuai Guo
2026	J	`jnl`	KHMP: Frequency-Domain Kalman Refinement for High-Fidelity Human Motion Prediction. CoRR Wenhan Wu, Zhishuai Guo, Chen Chen, Srijan Das, Hongfei Xue, Pu Wang, Aidong Lu
2026	J	`jnl`	LimAgents: Multi-Agent LLMs for Generating Research Limitations. CoRR Ibrahim Al Azher, Zhishuai Guo, Hamed Alhoori
2025	—	`conf`	BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text. EMNLP (Findings) Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori
2025	J	`jnl`	BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text. CoRR Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori
2025	J	`jnl`	Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-based Action Recognition. CoRR Wenhan Wu, Zhishuai Guo, Chen Chen, Hongfei Xue, Aidong Lu
2025	—	`conf`	FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article. eScience Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori
2025	J	`jnl`	FutureGen: LLM-RAG Approach to Generate the Future Work of Scientific Article. CoRR Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori
2025	J	`jnl`	UniSTFormer: Unified Spatio-Temporal Lightweight Transformer for Efficient Skeleton-Based Action Recognition. CoRR Wenhan Wu, Zhishuai Guo, Chen Chen, Aidong Lu
2025	J	`jnl`	Unified convergence analysis for adaptive optimization with moving average estimator. Mach. Learn. Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
2024	A*	`conf`	Communication-Efficient Federated Group Distributionally Robust Optimization. NeurIPS Zhishuai Guo, Tianbao Yang
2024	J	`jnl`	Communication-Efficient Federated Group Distributionally Robust Optimization. CoRR Zhishuai Guo, Tianbao Yang
2024	J	`jnl`	Generating empathetic responses through emotion tracking and constraint guidance. Frontiers Comput. Sci. Jing Li, Donghong Han, Zhishuai Guo, Baiyou Qiao, Gang Wu
2023	A*	`conf`	Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. ICML Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang
2023	J	`jnl`	Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. CoRR Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang
2023	J	`jnl`	Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. J. Mach. Learn. Res. Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang
2023	A*	`conf`	FeDXL: Provable Federated Learning for Deep X-Risk Optimization. ICML Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang
2022	A*	`conf`	Compositional Training for End-to-End Deep AUC Maximization. ICLR Zhuoning Yuan, Zhishuai Guo, Nitesh V. Chawla, Tianbao Yang
2022	J	`jnl`	FedX: Federated Learning for Compositional Pairwise Risk Optimization. CoRR Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang
2021	J	`jnl`	A Novel Convergence Analysis for Algorithms of the Adam Family. CoRR Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
2021	A*	`conf`	An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives. NeurIPS Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang
2021	A*	`conf`	Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity. ICML Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang
2021	J	`jnl`	Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity. CoRR Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang
2021	J	`jnl`	On Stochastic Moving-Average Estimators for Non-Convex Optimization. CoRR Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
2021	J	`jnl`	Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization. CoRR Zhishuai Guo, Tianbao Yang
2021	—	`conf`	Research on Cultivation of Innovation and Entrepreneurship Ability of Applied Talents under the Concept of "New Engineering". CIPAE Jing Gao, Zhishuai Guo, Yong Xiao
2020	J	`jnl`	A Practical Online Method for Distributionally Deep Robust Optimization. CoRR Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang
2020	—	`conf`	Accelerating Deep Learning with Millions of Classes. ECCV (23) Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang
2020	A*	`conf`	Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. ICML Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
2020	J	`jnl`	Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. CoRR Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
2020	J	`jnl`	Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. CoRR Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang
2020	J	`jnl`	Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. CoRR Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang
2018	—	`conf`	A New Local Density for Density Peak Clustering. PAKDD (3) Zhishuai Guo, Tianyi Huang, Zhiling Cai, William Zhu