Wenhan Xian

According to our database, Wenhan Xian authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Delving into the Convergence of Generalized Smooth Minimax Optimization.

Wenhan Xian, Ziyi Chen, Heng Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Finding Local Minima Efficiently in Decentralized Optimization.

Wenhan Xian, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Distributed Dynamic Safe Screening Algorithms for Sparse Regularization.

Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

CoRR, 2022

Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization.

Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Communication-Efficient Adam-Type Algorithms for Distributed Data Mining.

Wenhan Xian, Feihu Huang, Heng Huang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

A Faster Decentralized Algorithm for Nonconvex Minimax Problems.

Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding.

Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning.

Wenhan Xian, Feihu Huang, Heng Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Unified q-Memorization Framework for Asynchronous Stochastic Optimization.

Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang

J. Mach. Learn. Res., 2020

2019

Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization.

Bin Gu, Wenhan Xian, Heng Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019