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Statistical guaranteed noisy tensor recovery by fusing low-rankness on all orientations in frequency–original domains Journal article
Li, Xiangrui, Wei, Dongxu, Hu, Xiyuan, Zhang, Liming, Ding, Weiping, Tang, Zhenmin. Statistical guaranteed noisy tensor recovery by fusing low-rankness on all orientations in frequency–original domains[J]. Information Fusion, 2024, 106, 102262.
Authors:  Li, Xiangrui;  Wei, Dongxu;  Hu, Xiyuan;  Zhang, Liming;  Ding, Weiping; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:14.7/16.1 | Submit date：2024/05/16
Frequency–original Domain Fusion  Low Rank  Orientation Fusion  Statistical Performance  Tensor Recovery  
Efficient low-rank quaternion matrix completion under the learnable transforms for color image recovery Journal article
Wu, Pengling, Kou, Kit Ian, Miao, Jifei. Efficient low-rank quaternion matrix completion under the learnable transforms for color image recovery[J]. Applied Mathematics Letters, 2024, 148, 108880.
Authors:  Wu, Pengling;  Kou, Kit Ian;  Miao, Jifei
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:2.9/2.6 | Submit date：2024/02/22
Alternating Direction Method Of Multipliers  Color Image Recovery  Low-rank Quaternion Matrix Completion  Semi-orthogonal Transform  Weighted Schatten P-norm  
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]:18 TC[Scopus]:18  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)  
Color Image Recovery Using Low-Rank Quaternion Matrix Completion Algorithm Journal article
Miao, Jifei, Kou, Kit Ian. Color Image Recovery Using Low-Rank Quaternion Matrix Completion Algorithm[J]. IEEE Transactions on Image Processing, 2021, 31, 190-201.
Authors:  Miao, Jifei;  Kou, Kit Ian
Favorite | TC[WOS]:33 TC[Scopus]:37  IF:10.8/12.1 | Submit date：2022/05/17
Color Image Recovery  Low-rank Decomposition  Matrix Completion  Quaternion  
RPCA-induced self-representation for subspace clustering Journal article
Zhong,Guo, Pun,Chi Man. RPCA-induced self-representation for subspace clustering[J]. Neurocomputing, 2021, 437, 249-260.
Authors:  Zhong,Guo;  Pun,Chi Man
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:5.5/5.5 | Submit date：2021/03/11
Low-rank Recovery  Robust Principal Component Analysis  Self-representation  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  
Low-rank matrix recovery from noise via an mdl framework-based atomic norm Journal article
Qin, Anyong, Xian, Lina, Yang, Yongliang, Zhang, Taiping, Yan Tang, Yuan. Low-rank matrix recovery from noise via an mdl framework-based atomic norm[J]. Sensors (Switzerland), 2020, 20(21), 1-21.
Authors:  Qin, Anyong;  Xian, Lina;  Yang, Yongliang;  Zhang, Taiping;  Yan Tang, Yuan
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.4/3.7 | Submit date：2021/12/06
Atomic Norm  Low-rank Matrix Recovery  Minimum Description Length Principle  Robust Principal Components 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  
Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization Journal article
Zhang,Hengmin, Gong,Chen, Qian,Jianjun, Zhang,Bob, Xu,Chunyan, Yang,Jian. Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(10), 2916-2925.
Authors:  Zhang,Hengmin;  Gong,Chen;  Qian,Jianjun;  Zhang,Bob;  Xu,Chunyan; et al.
Favorite | TC[WOS]:38 TC[Scopus]:42  IF:10.2/10.4 | Submit date：2021/03/11
Double Nonconvex Nonsmooth Rank (Nnr) Minimization  Iteratively Reweighted Singular Values Function (Svf) Algorithm  Low-rank Matrix Recovery  Nuclear Norm-based Minimization (Nnm)