Wenhan Xian

13 papers A* 9Journal 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations.
IJCAI
Wenhan Xian, Feihu Huang, Heng Huang
2024 A* conf
Delving into the Convergence of Generalized Smooth Minimax Optimization.
ICML
Wenhan Xian, Ziyi Chen, Heng Huang
2024 — —
Efficient Optimization Algorithms for Nonconvex Machine Learning Problems.
Wenhan Xian
2023 A* conf
Finding Local Minima Efficiently in Decentralized Optimization.
NeurIPS
Wenhan Xian, Heng Huang
2022 A* conf
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining.
ICDM
Wenhan Xian, Feihu Huang, Heng Huang
2022 J jnl
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining.
CoRR
Wenhan Xian, Feihu Huang, Heng Huang
2022 J jnl
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization.
CoRR
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
2022 A* conf
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization.
IJCAI
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
2021 A* conf
A Faster Decentralized Algorithm for Nonconvex Minimax Problems.
NeurIPS
Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang
2021 A* conf
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning.
AAAI
Wenhan Xian, Feihu Huang, Heng Huang
2021 A* conf
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding.
ICCV
Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang
2020 J jnl
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization.
J. Mach. Learn. Res.
Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang
2019 A* conf
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization.
IJCAI
Bin Gu, Wenhan Xian, Heng Huang