2 citations · 3 across the 3 of their papers we have counts for
3 papers
math.OC2022
Stochastic Variance Reduced Gradient for affine rank minimization problem
Ningning Han, Juan Nie, Jian Lu +1
We develop an efficient stochastic variance reduced gradient descent algorithm to solve the affine rank minimization problem consists of finding a matrix of minimum rank from linea…
cs.IT2021★ 2 cited
Orthogonal subspace based fast iterative thresholding algorithms for joint sparsity recovery
Ningning Han, Shidong Li, Jian Lu
Sparse signal recoveries from multiple measurement vectors (MMV) with joint sparsity property have many applications in signal, image, and video processing. The problem becomes muc…
math.OC2020★ 1 cited
Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm
Xiaoxia Liu, Jian Lu, Lixin Shen +2
The goal of this paper is to develop a novel numerical method for efficient multiplicative noise removal. The nonlocal self-similarity of natural images implies that the matrices f…