Yunhai Xiao
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Linear convergence rate analysis of proximal generalized ADMM for convex composite programming.
Optim. Lett., September, 2024
Comput. Optim. Appl., July, 2024
Convergence analysis of generalized ADMM with majorization for linearly constrained composite convex optimization.
Optim. Lett., June, 2024
Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty.
CoRR, 2024
2023
Math. Methods Oper. Res., April, 2023
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
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
Comput. Optim. Appl., 2011
2010
J. Comput. Appl. Math., 2010
2008
An active set limited memory BFGS algorithm for large-scale bound constrained optimization.
Math. Methods Oper. Res., 2008
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
eLoom: a specification, simulation and visualization engine for modeling arbitrary hierarchical neural architectures.
Proceedings of the International Joint Conference on Neural Networks, 2003
Proceedings of the International Joint Conference on Neural Networks, 2003