Xian, Wenhan

9 publications

IJCAI 2025 Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations Wenhan Xian, Feihu Huang, Heng Huang

ICML 2024 Delving into the Convergence of Generalized Smooth Minimax Optimization Wenhan Xian, Ziyi Chen, Heng Huang

NeurIPS 2023 Finding Local Minima Efficiently in Decentralized Optimization Wenhan Xian, Heng Huang

IJCAI 2022 Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

NeurIPS 2021 A Faster Decentralized Algorithm for Nonconvex Minimax Problems Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang

AAAI 2021 Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning Wenhan Xian, Feihu Huang, Heng Huang

ICCV 2021 Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang

JMLR 2020 A Unified Q-Memorization Framework for Asynchronous Stochastic Optimization Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang

IJCAI 2019 Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization Bin Gu, Wenhan Xian, Heng Huang