Chengjing Wang

31 papers Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A distributed semismooth Newton based augmented Lagrangian method for distributed optimization. CoRR Qihao Ma, Chengjing Wang, Peipei Tang, Dunbiao Niu, Aimin Xu
2025	J	`jnl`	An augmented Lagrangian method for strongly regular minimizers in a class of convex composite optimization problems. CoRR Chengjing Wang, Peipei Tang
2025	J	`jnl`	Complete Characterizations of Well-Posedness in Parametric Composite Optimization. CoRR Boris S. Mordukhovich, Peipei Tang, Chengjing Wang
2025	J	`jnl`	Learning the Hub Graphical Lasso Model with the Structured Sparsity via an Efficient Algorithm. J. Sci. Comput. Chengjing Wang, Peipei Tang, Wenling He, Meixia Lin
2025	J	`jnl`	Second-Order Characterizations of Tilt Stability in Composite Optimization. CoRR Boris S. Mordukhovich, Peipei Tang, Chengjing Wang
2024	J	`jnl`	An efficient algorithm for the ℓ_{𝑝} norm based metric nearness problem. Math. Comput. Peipei Tang, Bo Jiang, Chengjing Wang
2024	J	`jnl`	An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal. Numer. Algorithms Chengjing Wang, Xile Zhao, Qingsong Wang, Zepei Ma, Peipei Tang
2024	J	`jnl`	Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure. J. Mach. Learn. Res. Meixia Lin, Defeng Sun, Kim-Chuan Toh, Chengjing Wang
2024	J	`jnl`	Perturbation analysis of a class of composite optimization problems. CoRR Peipei Tang, Chengjing Wang
2023	J	`jnl`	A Dual Semismooth Newton Based Augmented Lagrangian Method for Large-Scale Linearly Constrained Sparse Group Square-Root Lasso Problems. J. Sci. Comput. Chengjing Wang, Peipei Tang
2023	J	`jnl`	A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems. IEEE Trans. Signal Process. Peipei Tang, Chengjing Wang, Bo Jiang
2023	—	`conf`	An Efficient Byzantine Fault-Tolerant Consensus Mechanism Based on Aggregate Threshold Ring Signature. ICCCS Liquan Chen, Chengjing Wang, Wenxuan Jiang
2023	J	`jnl`	An inexact proximal majorization-minimization Algorithm for remote sensing image stripe noise removal. CoRR Chengjing Wang, Xile Zhao, Qingsong Wang, Zepei Ma, Peipei Tang
2023	J	`jnl`	Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm. CoRR Chengjing Wang, Peipei Tang, Wenling He, Meixia Lin
2022	J	`jnl`	An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity. IEEE Trans. Signal Process. Dunbiao Niu, Chengjing Wang, Peipei Tang, Qingsong Wang, Enbin Song
2022	J	`jnl`	An efficient algorithm for the 𝓁 CoRR Peipei Tang, Bo Jiang, Chengjing Wang
2021	J	`jnl`	A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems. CoRR Chengjing Wang, Peipei Tang
2021	J	`jnl`	A dual symmetric Gauss-Seidel alternating direction method of multipliers for hyperspectral sparse unmixing. Numer. Algorithms Longfei Ren, Chengjing Wang, Peipei Tang, Zheng Ma
2021	J	`jnl`	A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems. CoRR Peipei Tang, Chengjing Wang, Bo Jiang
2020	J	`jnl`	An Inexact Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration. Asia Pac. J. Oper. Res. Qingsong Wang, Chengjing Wang, Peipei Tang, Dunbiao Niu
2019	J	`jnl`	A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing. CoRR Longfei Ren, Chengjing Wang, Peipei Tang, Zheng Ma
2019	J	`jnl`	A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines. CoRR Dunbiao Niu, Chengjing Wang, Peipei Tang, Qingsong Wang, Enbin Song
2019	J	`jnl`	A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. CoRR Peipei Tang, Chengjing Wang, Defeng Sun, Kim-Chuan Toh
2017	J	`jnl`	A primal majorized semismooth Newton-CG augmented Lagrangian method for large-scale linearly constrained convex programming. Comput. Optim. Appl. Chengjing Wang, Peipei Tang
2016	J	`jnl`	A majorized Newton-CG augmented Lagrangian-based finite element method for 3D restoration of geological models. Comput. Geosci. Peipei Tang, Chengjing Wang, Xiaoxia Dai
2016	J	`jnl`	On how to solve large-scale log-determinant optimization problems. Comput. Optim. Appl. Chengjing Wang
2013	J	`jnl`	An Inexact Accelerated Proximal Gradient Method and a Dual Newton-CG Method for the Maximal Entropy Problem. J. Optim. Theory Appl. Chengjing Wang, Aimin Xu
2010	J	`jnl`	Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm. SIAM J. Optim. Chengjing Wang, Defeng Sun, Kim-Chuan Toh
2010	J	`jnl`	Some extensions of Faà di Bruno's formula with divided differences. Comput. Math. Appl. Aimin Xu, Chengjing Wang
2006	J	`jnl`	Dogleg paths and trust region methods with back tracking technique for unconstrained optimization. Appl. Math. Comput. Chengjing Wang
2006	J	`jnl`	Some remarks on conjugate gradient methods without line search. Appl. Math. Comput. Chengjing Wang