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2020 – today
- 2024
[j2]Jing Li, Donghong Han, Zhishuai Guo, Baiyou Qiao, Gang Wu:
Generating empathetic responses through emotion tracking and constraint guidance. Frontiers Comput. Sci. 18(2): 182330 (2024)- [i11]Zhishuai Guo, Tianbao Yang:
Communication-Efficient Federated Group Distributionally Robust Optimization. CoRR abs/2410.06369 (2024) - 2023
- [j1]Zhishuai Guo, Yan Yan
, Zhuoning Yuan, Tianbao Yang:
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. J. Mach. Learn. Res. 24: 148:1-148:63 (2023) - [c9]Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang:
FeDXL: Provable Federated Learning for Deep X-Risk Optimization. ICML 2023: 11934-11966 - [c8]Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang:
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. ICML 2023: 13550-13583 - [i10]Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang:
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. CoRR abs/2305.18730 (2023) - 2022
- [c7]Zhuoning Yuan, Zhishuai Guo, Nitesh V. Chawla, Tianbao Yang:
Compositional Training for End-to-End Deep AUC Maximization. ICLR 2022 - [i9]Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang:
FedX: Federated Learning for Compositional Pairwise Risk Optimization. CoRR abs/2210.14396 (2022) - 2021
- [c6]Jing Gao, Zhishuai Guo, Yong Xiao:
Research on Cultivation of Innovation and Entrepreneurship Ability of Applied Talents under the Concept of "New Engineering". CIPAE 2021: 757-759 - [c5]Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang:
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity. ICML 2021: 12219-12229 - [c4]Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang:
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives. NeurIPS 2021: 10067-10080 - [i8]Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang:
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity. CoRR abs/2102.04635 (2021) - [i7]Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
On Stochastic Moving-Average Estimators for Non-Convex Optimization. CoRR abs/2104.14840 (2021) - [i6]Zhishuai Guo, Tianbao Yang:
Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization. CoRR abs/2105.02266 (2021) - [i5]Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
A Novel Convergence Analysis for Algorithms of the Adam Family. CoRR abs/2112.03459 (2021) - 2020
- [c3]Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang:
Accelerating Deep Learning with Millions of Classes. ECCV (23) 2020: 711-726 - [c2]Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang:
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. ICML 2020: 3864-3874 - [i4]Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang:
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. CoRR abs/2003.04339 (2020) - [i3]Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang:
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. CoRR abs/2005.02426 (2020) - [i2]Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang:
Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. CoRR abs/2006.06889 (2020) - [i1]Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang:
A Practical Online Method for Distributionally Deep Robust Optimization. CoRR abs/2006.10138 (2020)
2010 – 2019
- 2018
- [c1]Zhishuai Guo, Tianyi Huang, Zhiling Cai, William Zhu:
A New Local Density for Density Peak Clustering. PAKDD (3) 2018: 426-438
Coauthor Index
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