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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  
Two-parameter modified matrix splitting iteration method for Helmholtz equation Journal article
Li, Tian Yi, Chen, Fang, Fang, Zhi Wei, Sun, Hai Wei, Wang, Zhi. Two-parameter modified matrix splitting iteration method for Helmholtz equation[J]. International Journal of Computer Mathematics, 2024.
Authors:  Li, Tian Yi;  Chen, Fang;  Fang, Zhi Wei;  Sun, Hai Wei;  Wang, Zhi
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.7/1.5 | Submit date：2024/05/16
Complex Linear System  Convergence Property  Helmholtz Equation  Matrix Splitting Iteration  Preconditioning  
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]:51 TC[Scopus]:52  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