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A neurodynamic optimization approach to distributed nonconvex optimization based on an HP augmented Lagrangian function Journal article
Guan, Huimin, Liu, Yang, Kou, Kit Ian, Gui, Weihua. A neurodynamic optimization approach to distributed nonconvex optimization based on an HP augmented Lagrangian function[J]. Neural Networks, 2025, 181.
Authors:  Guan, Huimin;  Liu, Yang;  Kou, Kit Ian;  Gui, Weihua
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.0/7.9 | Submit date：2025/01/22
Distributed Optimization  Hestenes–powell Augmented Lagrangian Function  Neurodynamic Optimization  Neurodynamic Systems  Nonconvex Optimization  
Momentum-Based Multi-Agent Approaches to Distributed Nonconvex Optimization Journal article
Xia, Zicong, Liu, Yang, Kou, Kit Ian, Lu, Jianquan, Gui, Weihua. Momentum-Based Multi-Agent Approaches to Distributed Nonconvex Optimization[J]. IEEE Transactions on Automatic Control, 2024.
Authors:  Xia, Zicong;  Liu, Yang;  Kou, Kit Ian;  Lu, Jianquan;  Gui, Weihua
Favorite | TC[Scopus]:0  IF:6.2/6.6 | Submit date：2025/01/13
Distributed Nonconvex Optimization  Momentum-based Optimization  Multi-agent Systems  
Accelerated PALM for Nonconvex Low-rank Matrix Recovery with Theoretical Analysis Journal article
Zhang, Hengmin, Wen, Bihan, Zha, Zhiyuan, Zhang, Bob, Tang, Yang, Yu, Guo, Du, Wenli. Accelerated PALM for Nonconvex Low-rank Matrix Recovery with Theoretical Analysis[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34(4), 2304-2317.
Authors:  Zhang, Hengmin;  Wen, Bihan;  Zha, Zhiyuan;  Zhang, Bob;  Tang, Yang; et al.
Favorite | TC[WOS]:8 TC[Scopus]:6  IF:8.3/7.1 | Submit date：2024/02/23
Nonconvex Rank Relaxations  Matrix Volume  Proximal Alternating Linearized Minimization  Robust Matrix Completion  Low-rank Representation  
Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm Journal article
Zhang, Benxin, Zhu, Guopu, Zhu, Zhibin, Zhang, Hongli, Zhou, Yicong, Kwong, Sam. Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm[J]. IEEE Transactions on Cybernetics, 2024, 54(4), 2257-2270.
Authors:  Zhang, Benxin;  Zhu, Guopu;  Zhu, Zhibin;  Zhang, Hongli;  Zhou, Yicong; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:9.4/10.3 | Submit date：2023/01/30
Difference Of Convex Functions Algorithm (Dca)  Image Restoration  Impulse Noise  Nonconvex Optimization Model  
Linear Regression Problem Relaxations Solved by Nonconvex ADMM with Convergence Analysis Journal article
Zhang,Hengmin, Gao,Junbin, Qian,Jianjun, Yang,Jian, Xu,Chunyan, Zhang,Bob. Linear Regression Problem Relaxations Solved by Nonconvex ADMM with Convergence Analysis[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(2), 828 - 838.
Authors:  Zhang,Hengmin;  Gao,Junbin;  Qian,Jianjun;  Yang,Jian;  Xu,Chunyan; et al.
Favorite | TC[WOS]:13 TC[Scopus]:10  IF:8.3/7.1 | Submit date：2023/08/03
Convergence  Global Convergence Analysis  Kurdyka-łojasiewicz (Kł) Property  Linear Programming  Linear Regression  Minimization  Nonconvex Admm  Nonconvex Composite Problem  Nonsmooth Con-vex Function  Optimization  Sparse Matrices  Task Analysis  
Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis Journal article
Zhang, Hengmin, Qian, Feng, Shi, Peng, Du, Wenli, Tang, Yang, Qian, Jianjun, Gong, Chen, Yang, Jian. Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(9), 5342-5353.
Authors:  Zhang, Hengmin;  Qian, Feng;  Shi, Peng;  Du, Wenli;  Tang, Yang; et al.
Favorite | TC[WOS]:23 TC[Scopus]:23  IF:10.2/10.4 | Submit date：2023/10/10
Algorithm Designs  Convergence Analysis  Low-rank Matrix Recovery  Multiple Variables  Nonconvex Alternating Direction Method Of Multiplier (Admm)  
Collaborative neurodynamic optimization for solving nonlinear equations Journal article
Guan,Huimin, Liu,Yang, Kou,Kit Ian, Cao,Jinde, Rutkowski,Leszek. Collaborative neurodynamic optimization for solving nonlinear equations[J]. NEURAL NETWORKS, 2023, 165, 483-490.
Authors:  Guan,Huimin;  Liu,Yang;  Kou,Kit Ian;  Cao,Jinde;  Rutkowski,Leszek
Favorite | TC[WOS]:2 TC[Scopus]:5  IF:6.0/7.9 | Submit date：2023/08/03
Collaborative Neurodynamic Optimization  Distributed Optimization  Nonconvex Optimization  Nonlinear Equations  
Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering Journal article
Chen, Yongyong, Wang, Shuqin, Peng, Chong, Hua, Zhongyun, Zhou, Yicong. Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering[J]. IEEE Transactions on Image Processing, 2021, 30, 4022-4035.
Authors:  Chen, Yongyong;  Wang, Shuqin;  Peng, Chong;  Hua, Zhongyun;  Zhou, Yicong
Favorite | TC[WOS]:129 TC[Scopus]:134  IF:10.8/12.1 | Submit date：2022/05/13
Multi-view Clustering  Nonconvex Low-rank Tensor Approximation  Spectral Clustering  Subspace Clustering  
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization Conference paper
Zhang, Hengmin, Luo, Wei, Du, Wenli, Qian, Jianjun, Yang, Jian, Zhang, Bob. Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization[C]:Springer Science and Business Media Deutschland GmbH, 2021, 106-119.
Authors:  Zhang, Hengmin;  Luo, Wei;  Du, Wenli;  Qian, Jianjun;  Yang, Jian; et al.
Favorite | TC[Scopus]:1 | Submit date：2022/05/13
Low Rank Matrix Recovery  Nonconvex Rank Regularization  Convergence Analysis  Nonconve Admm  Kkt Conditions  
Robust Nonconvex Nonnegative Low-rank Representation Conference paper
Yin-Ping Zhao, Xiliang Lu, Long Chen, Jinyu Tian, C. L. Philip Chen. Robust Nonconvex Nonnegative Low-rank Representation[C]:IEEE, 2019, 226-231.
Authors:  Yin-Ping Zhao;  Xiliang Lu;  Long Chen;  Jinyu Tian;  C. L. Philip Chen
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2021/03/09
Admm  Low-rank Representation  Nonconvex  Nonnegative  Regularization