Chengjing Wang
Orcid: 0000-0001-8959-2505
According to our database1,
Chengjing Wang
authored at least 21 papers
between 2006 and 2024.
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Bibliography
2024
An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal.
Numer. Algorithms, November, 2024
2023
A Dual Semismooth Newton Based Augmented Lagrangian Method for Large-Scale Linearly Constrained Sparse Group Square-Root Lasso Problems.
J. Sci. Comput., August, 2023
A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems.
IEEE Trans. Signal Process., 2023
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm.
CoRR, 2023
An Efficient Byzantine Fault-Tolerant Consensus Mechanism Based on Aggregate Threshold Ring Signature.
Proceedings of the 8th International Conference on Computer and Communication Systems, 2023
2022
An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity.
IEEE Trans. Signal Process., 2022
CoRR, 2022
2021
A dual symmetric Gauss-Seidel alternating direction method of multipliers for hyperspectral sparse unmixing.
Numer. Algorithms, 2021
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems.
CoRR, 2021
2020
An Inexact Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration.
Asia Pac. J. Oper. Res., 2020
2019
A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines.
CoRR, 2019
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems.
CoRR, 2019
2017
A primal majorized semismooth Newton-CG augmented Lagrangian method for large-scale linearly constrained convex programming.
Comput. Optim. Appl., 2017
2016
A majorized Newton-CG augmented Lagrangian-based finite element method for 3D restoration of geological models.
Comput. Geosci., 2016
Comput. Optim. Appl., 2016
2013
An Inexact Accelerated Proximal Gradient Method and a Dual Newton-CG Method for the Maximal Entropy Problem.
J. Optim. Theory Appl., 2013
2010
Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm.
SIAM J. Optim., 2010
Comput. Math. Appl., 2010
2006
Appl. Math. Comput., 2006
Dogleg paths and trust region methods with back tracking technique for unconstrained optimization.
Appl. Math. Comput., 2006