Chengjing Wang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 18

Top Topics

Alternating Direction Method Of Multipliers

Regression Problems

Augmented Lagrangian

Top Venues

IEEE Trans. Signal Process.

Comput. Optim. Appl.

Asia Pac. J. Oper. Res.

Publications

Peipei Tang, Chengjing Wang
Perturbation analysis of a class of composite optimization problems. CoRR (2024)
Liquan Chen, Chengjing Wang, Wenxuan Jiang
An Efficient Byzantine Fault-Tolerant Consensus Mechanism Based on Aggregate Threshold Ring Signature. ICCCS (2023)
Chengjing Wang, Peipei Tang, Wenling He, Meixia Lin
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm. CoRR (2023)
Peipei Tang, Chengjing Wang, Bo Jiang
A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems. IEEE Trans. Signal Process. 71 (2023)
Chengjing Wang, Xile Zhao, Qingsong Wang, Zepei Ma, Peipei Tang
An inexact proximal majorization-minimization Algorithm for remote sensing image stripe noise removal. CoRR (2023)
Chengjing Wang, Peipei Tang
A Dual Semismooth Newton Based Augmented Lagrangian Method for Large-Scale Linearly Constrained Sparse Group Square-Root Lasso Problems. J. Sci. Comput. 96 (2) (2023)
Dunbiao Niu, Chengjing Wang, Peipei Tang, Qingsong Wang, Enbin Song
An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity. IEEE Trans. Signal Process. 70 (2022)
Peipei Tang, Bo Jiang, Chengjing Wang
norm based metric nearness problem. CoRR (2022)
Longfei Ren, Chengjing Wang, Peipei Tang, Zheng Ma
A dual symmetric Gauss-Seidel alternating direction method of multipliers for hyperspectral sparse unmixing. Numer. Algorithms 87 (2) (2021)
Peipei Tang, Chengjing Wang, Bo Jiang
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems. CoRR (2021)
Chengjing Wang, Peipei Tang
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems. CoRR (2021)
Qingsong Wang, Chengjing Wang, Peipei Tang, Dunbiao Niu
An Inexact Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration. Asia Pac. J. Oper. Res. 37 (4) (2020)
Dunbiao Niu, Chengjing Wang, Peipei Tang, Qingsong Wang, Enbin Song
A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines. CoRR (2019)
Longfei Ren, Chengjing Wang, Peipei Tang, Zheng Ma
A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing. CoRR (2019)
Peipei Tang, Chengjing Wang, Defeng Sun, Kim-Chuan Toh
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. CoRR (2019)
Chengjing Wang, Peipei Tang
A primal majorized semismooth Newton-CG augmented Lagrangian method for large-scale linearly constrained convex programming. Comput. Optim. Appl. 68 (3) (2017)
Peipei Tang, Chengjing Wang, Xiaoxia Dai
A majorized Newton-CG augmented Lagrangian-based finite element method for 3D restoration of geological models. Comput. Geosci. 89 (2016)
Chengjing Wang
On how to solve large-scale log-determinant optimization problems. Comput. Optim. Appl. 64 (2) (2016)
Chengjing Wang, Aimin Xu
An Inexact Accelerated Proximal Gradient Method and a Dual Newton-CG Method for the Maximal Entropy Problem. J. Optim. Theory Appl. 157 (2) (2013)
Aimin Xu, Chengjing Wang
Some extensions of Faà di Bruno's formula with divided differences. Comput. Math. Appl. 59 (6) (2010)
Chengjing Wang, Defeng Sun, Kim-Chuan Toh
Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm. SIAM J. Optim. 20 (6) (2010)
Chengjing Wang
Some remarks on conjugate gradient methods without line search. Appl. Math. Comput. 181 (1) (2006)
Chengjing Wang
Dogleg paths and trust region methods with back tracking technique for unconstrained optimization. Appl. Math. Comput. 177 (1) (2006)