1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IT2022
Heavy-Ball-Based Hard Thresholding Algorithms for Sparse Signal Recovery
Zhong-Feng Sun, Jin-Chuan Zhou, Yun-Bin Zhao +1
The hard thresholding technique plays a vital role in the development of algorithms for sparse signal recovery. By merging this technique and heavy-ball acceleration method which i…
math.OC2021★ 1 cited
Partial Gradient Optimal Thresholding Algorithms for a Class of Sparse Optimization Problems
Nan Meng, Yun-Bin Zhao, Michal Kocvara
The optimization problems with a sparsity constraint is a class of important global optimization problems. A typical type of thresholding algorithms for solving such a problem adop…
math.OC2020
Newton-Step-Based Hard Thresholding Algorithms for Sparse Signal Recovery
Nan Meng, Yun-Bin Zhao
Sparse signal recovery or compressed sensing can be formulated as certain sparse optimization problems. The classic optimization theory indicates that the Newton-like method often…