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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]:10 TC[Scopus]:7  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  
Low-Rank Matrix Recovery via Modified Schatten p Norm Minimization with Convergence Guarantees Journal article
Zhang,Hengmin, Qian,Jianjun, Zhang,Bob, Yang,Jian, Gong,Chen, Wei,Yang. Low-Rank Matrix Recovery via Modified Schatten p Norm Minimization with Convergence Guarantees[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 29, 3132-3142.
Authors:  Zhang,Hengmin;  Qian,Jianjun;  Zhang,Bob;  Yang,Jian;  Gong,Chen; et al.
Favorite | TC[WOS]:48 TC[Scopus]:47  IF:10.8/12.1 | Submit date：2021/03/11
Low-rank Matrix Recovery  Modified Schatten-p Norm  Iterative Singular Value Thresholding Algorithm  Kurdyka-łojasiewicz Property  Convergence Guarantees