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Chengjing Wang
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Journal Articles
- 2023
- [j13]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): 45 (2023) - [j12]Peipei Tang
, Chengjing Wang
, Bo Jiang
:
A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems. IEEE Trans. Signal Process. 71: 3502-3517 (2023) - 2022
- [j11]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: 5608-5623 (2022) - 2021
- [j10]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): 719-754 (2021) - 2020
- [j9]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): 2040010:1-2040010:25 (2020) - 2017
- [j8]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): 503-532 (2017) - 2016
- [j7]Chengjing Wang:
On how to solve large-scale log-determinant optimization problems. Comput. Optim. Appl. 64(2): 489-511 (2016) - [j6]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: 200-206 (2016) - 2013
- [j5]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): 436-450 (2013) - 2010
- [j4]Aimin Xu, Chengjing Wang:
Some extensions of Faà di Bruno's formula with divided differences. Comput. Math. Appl. 59(6): 2047-2052 (2010) - [j3]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): 2994-3013 (2010) - 2006
- [j2]Chengjing Wang:
Dogleg paths and trust region methods with back tracking technique for unconstrained optimization. Appl. Math. Comput. 177(1): 159-169 (2006) - [j1]Chengjing Wang:
Some remarks on conjugate gradient methods without line search. Appl. Math. Comput. 181(1): 370-379 (2006)
Conference and Workshop Papers
- 2023
- [c1]Liquan Chen, Chengjing Wang, Wenxuan Jiang:
An Efficient Byzantine Fault-Tolerant Consensus Mechanism Based on Aggregate Threshold Ring Signature. ICCCS 2023: 430-439
Informal and Other Publications
- 2024
- [i9]Peipei Tang, Chengjing Wang:
Perturbation analysis of a class of composite optimization problems. CoRR abs/2401.10728 (2024) - 2023
- [i8]Chengjing Wang, Peipei Tang, Wenling He, Meixia Lin:
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm. CoRR abs/2308.08852 (2023) - [i7]Chengjing Wang, Xile Zhao, Qingsong Wang, Zepei Ma, Peipei Tang:
An inexact proximal majorization-minimization Algorithm for remote sensing image stripe noise removal. CoRR abs/2308.08866 (2023) - 2022
- [i6]Peipei Tang, Bo Jiang, Chengjing Wang:
An efficient algorithm for the 𝓁p norm based metric nearness problem. CoRR abs/2211.01245 (2022) - 2021
- [i5]Peipei Tang, Chengjing Wang, Bo Jiang:
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems. CoRR abs/2106.13683 (2021) - [i4]Chengjing Wang, Peipei Tang:
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems. CoRR abs/2111.13878 (2021) - 2019
- [i3]Longfei Ren, Chengjing Wang, Peipei Tang, Zheng Ma:
A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing. CoRR abs/1902.09135 (2019) - [i2]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 abs/1903.11460 (2019) - [i1]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 abs/1910.01312 (2019)
Coauthor Index
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