Yunhai Xiao

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023
Efficient dual ADMMs for sparse compressive sensing MRI reconstruction.
Math. Methods Oper. Res., April, 2023

An efficient semismooth Newton method for adaptive sparse signal recovery problems.
Optim. Methods Softw., March, 2023

2022
A Fast Phase Optimization Approach of Distributed Scatterer for Multitemporal SAR Data Based on Gauss-Seidel Method.
IEEE Geosci. Remote. Sens. Lett., 2022

Multiple Convex Objects Image Segmentation via Proximal Alternating Direction Method of Multipliers.
CoRR, 2022

2021
Robust EEG feature learning model based on an adaptive weight and pairwise-fused LASSO.
Biomed. Signal Process. Control., 2021

2019
An efficient algorithm for batch images alignment with adaptive rank-correction term.
J. Comput. Appl. Math., 2019

2018
A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming.
Math. Program. Comput., 2018

Symmetric Gauss-Seidel Technique-Based Alternating Direction Methods of Multipliers for Transform Invariant Low-Rank Textures Problem.
J. Math. Imaging Vis., 2018

An efficient algorithm for sparse inverse covariance matrix estimation based on dual formulation.
Comput. Stat. Data Anal., 2018

2017
Robust Face Recognition Model with Adaptive Correction Term via Generalized Alternating Direction Method of Multipliers.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017

2016
A limited memory BFGS algorithm for non-convex minimization with applications in matrix largest eigenvalue problem.
Math. Methods Oper. Res., 2016

2015
Norm descent conjugate gradient methods for solving symmetric nonlinear equations.
J. Glob. Optim., 2015

2014
Nonmonotone Barzilai-Borwein Gradient Algorithm for ℓ<sub>1</sub>-Regularized Nonsmooth Minimization in Compressive Sensing.
J. Sci. Comput., 2014

2013
Primal and dual alternating direction algorithms for <i>ℓ</i> <sub>1</sub>-<i>ℓ</i> <sub>1</sub>-norm minimization problems in compressive sensing.
Comput. Optim. Appl., 2013

Large sparse signal recovery by conjugate gradient algorithm based on smoothing technique.
Comput. Math. Appl., 2013

Splitting and linearizing augmented Lagrangian algorithm for subspace recovery from corrupted observations.
Adv. Comput. Math., 2013

2012
An alternating direction method for linear-constrained matrix nuclear norm minimization.
Numer. Linear Algebra Appl., 2012

An Inexact Alternating Directions Algorithm for Constrained Total Variation Regularized Compressive Sensing Problems.
J. Math. Imaging Vis., 2012

A modified conjugate gradient algorithm with cyclic Barzilai-Borwein steplength for unconstrained optimization.
J. Comput. Appl. Math., 2012

2011
Sufficient descent directions in unconstrained optimization.
Comput. Optim. Appl., 2011

2010
Notes on the Dai-Yuan-Yuan modified spectral gradient method.
J. Comput. Appl. Math., 2010

2008
An active set limited memory BFGS algorithm for large-scale bound constrained optimization.
Math. Methods Oper. Res., 2008

A limited memory BFGS-type method for large-scale unconstrained optimization.
Comput. Math. Appl., 2008

2007
A new subspace limited memory BFGS algorithm for large-scale bound constrained optimization.
Appl. Math. Comput., 2007

2003
eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures.
Neural Networks, 2003


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