19 citations · 30 across the 15 of their papers we have counts for
15 papers
ADMM-based Bilevel Descent Aggregation Algorithm for Sparse Hyperparameter Selection
Yunhai Xiao, Anqi Liu, Peili Li +1
It is widely acknowledged that hyperparameter selection plays a critical role in the effectiveness of sparse optimization problems. The bilevel optimization provides a robust frame…
An Efficient Method for Joint Delay-Doppler Estimation of Moving Targets in Passive Radar
Mengjiao Shi, Yunhai Xiao, Peili Li
Passive radar systems can detect and track the moving targets of interest by exploiting non-cooperative illuminators-of-opportunity to transmit orthogonal frequency division multip…
Robust Fused Lasso Penalized Huber Regression with Nonasymptotic Property and Implementation Studies
Xin Xin, Boyi Xie, Yunhai Xiao
For some special data in reality, such as the genetic data, adjacent genes may have the similar function. Thus ensuring the smoothness between adjacent genes is highly necessary. B…
Linear Convergence Rate Analysis of Proximal Generalized ADMM for Convex Composite Programming
Han Wang, Yunhai Xiao
The proximal generalized alternating direction method of multipliers (p-GADMM) is substantially efficient for solving convex composite programming problems of high-dimensional to m…
On the Linear Convergence Rate of Generalized ADMM for Convex Composite Programming
Han Wang, Peili Li, Yunhai Xiao
Over the fast few years, the numerical success of the generalized alternating direction method of multipliers (GADMM) proposed by Eckstein \& Bertsekas [Math. Prog., 1992] has insp…
Convergence Analysis of Generalized ADMM with Majorization for Linearly Constrained Composite Convex Optimization
Hongwu Li, Haibin Zhang, Yunhai Xiao
The generalized alternating direction method of multipliers (ADMM) of Xiao et al. [{\tt Math. Prog. Comput., 2018}] aims at the two-block linearly constrained composite convex prog…
A Binary Characterization Method for Shape Convexity and Applications
Shousheng Luo, Jinfeng Chen, Yunhai Xiao +1
Convexity prior is one of the main cue for human vision and shape completion with important applications in image processing, computer vision. This paper focuses on characterizatio…
A Majorized-Generalized Alternating Direction Method of Multipliers for Convex Composite Programming
Congying Qin, Yunhai Xiao, Peili Li
The linearly constrained convex composite programming problems whose objective function contains two blocks with each block being the form of nonsmooth+smooth arises frequently in…
Efficient Dual ADMMs for Sparse Compressive Sensing MRI Reconstruction
Yanyun Ding, Peili Li, Yunhai Xiao +1
Magnetic Resonance Imaging (MRI) is a kind of medical imaging technology used for diagnostic imaging of diseases, but its image quality may be suffered by the long acquisition time…
An Efficient Semismooth Newton Method for Adaptive Sparse Signal Recovery Problems
Yanyun Ding, Haibin Zhang, Peili Li +1
We know that compressive sensing can establish stable sparse recovery results from highly undersampled data under a restricted isometry property condition. In reality, however, num…
Semismooth Newton Augmented Lagrangian Algorithm for Adaptive Lasso Penalized Least Squares in Semiparametric Regression
Peili Li, Yunhai Xiao, Meixia Yang +1
This paper is concerned with a partially linear semiparametric regression model containing an unknown regression coefficient, an unknown nonparametric function, and an unobservable…
Symmetric Gauss-Seidel Technique Based Alternating Direction Methods of Multipliers for Transform Invariant Low-Rank Textures Problem
Yanyun Ding, Yunhai Xiao
Transform Invariant Low-Rank Textures, referred to as TILT, can accurately and robustly extract textural or geometric information in a 3D from user-specified windows in 2D in spite…
A Generalized Alternating Direction Method of Multipliers with Semi-Proximal Terms for Convex Composite Conic Programming
Yunhai Xiao, Liang Chen, Donghui Li
In this paper, we propose a generalized alternating direction method of multipliers (ADMM) with semi-proximal terms for solving a class of convex composite conic optimization probl…
Nonmonotone Barzilai-Borwein Gradient Algorithm for -Regularized Nonsmooth Minimization in Compressive Sensing
Yunhai Xiao, Soon-Yi Wu, Liqun Qi
This paper is devoted to minimizing the sum of a smooth function and a nonsmooth -regularized term. This problem as a special cases includes the -regularized convex…
A Fast Algorithm for Total Variation Image Reconstruction from Random Projections
Yunhai Xiao, Junfeng Yang
Total variation (TV) regularization is popular in image restoration and reconstruction due to its ability to preserve image edges. To date, most research activities on TV models co…