Yuan, Zhuoning

13 publications

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

JMLR 2023 Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang

ICML 2023 Not All Semantics Are Created Equal: Contrastive Self-Supervised Learning with Automatic Temperature Individualization Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang

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

ICML 2022 Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, 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

ICCV 2021 Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Zhuoning Yuan, Yan Yan, Milan Sonka, 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

ICLR 2020 Stochastic AUC Maximization with Deep Neural Networks Mingrui Liu, Zhuoning Yuan, Yiming Ying, Tianbao Yang

IJCAI 2019 On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang

NeurIPS 2019 Stagewise Training Accelerates Convergence of Testing Error over SGD Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang

ICLR 2019 Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang