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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]:21 TC[Scopus]:21  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)  
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