15 citations · 17 across the 3 of their papers we have counts for
4 papers
Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds
Kangkang Deng, Jiang Hu, Hongxia Wang
We study decentralized smooth optimization problems over compact submanifolds. Recasting it as a composite optimization problem, we propose a decentralized Douglas-Rachford splitti…
A Weighted Randomized Sparse Kaczmarz Method for Solving Linear Systems
Lu Zhang, Ziyang Yuan, Hongxia Wang +1
The randomized sparse Kaczmarz method, designed for seeking the sparse solutions of the linear systems , selects the -th projection hyperplane with likelihood proportional…
Regularize implicit neural representation by itself
Zhemin Li, Hongxia Wang, Deyu Meng
This paper proposes a regularizer called Implicit Neural Representation Regularizer (INRR) to improve the generalization ability of the Implicit Neural Representation (INR). The IN…
Adaptively Sketched Bregman Projection Methods for Linear Systems
Ziyang Yuan, Lu Zhang, Hongxia Wang +1
The sketch-and-project, as a general archetypal algorithm for solving linear systems, unifies a variety of randomized iterative methods such as the randomized Kaczmarz and randomiz…