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Dual low-rank structure embedding for robust visual information processing Journal article
Zhou, Jianhang, Zhang, Hengmin, Li, Shuyi, Zhang, Bob, Fang, Leyuan, Zhang, David. Dual low-rank structure embedding for robust visual information processing[J]. Knowledge-Based Systems, 2024, 296, 111821.
Authors:  Zhou, Jianhang;  Zhang, Hengmin;  Li, Shuyi;  Zhang, Bob;  Fang, Leyuan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.2/7.4 | Submit date：2024/05/16
Low Rank  Structure Embedding  Bayesian Inference  Visual Information Processing  
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]:6 TC[Scopus]:5  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  
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean Journal article
Zhang, Hengmin, Zhao, Jiaoyan, Zhang, Bob, Gong, Chen, Qian, Jianjun, Yang, Jian. Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(3), 3012-3026.
Authors:  Zhang, Hengmin;  Zhao, Jiaoyan;  Zhang, Bob;  Gong, Chen;  Qian, Jianjun; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:10.2/10.4 | Submit date：2024/02/22
Low-rank Representation (Lrr)  Matrix Factorization  Optimal Mean  Schatten P-norm  Subspace Clustering  
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:  ; 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  
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)  
Incorporating Linear Regression Problems Into An Adaptive Framework with Feasible Optimizations Journal article
Zhang, Hengmin, Qian, Feng, Zhang, Bob, Du, Wenli, Qian, Jianjun, Yang, Jian. Incorporating Linear Regression Problems Into An Adaptive Framework with Feasible Optimizations[J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 25, 4041-4051.
Authors:  Zhang, Hengmin;  Qian, Feng;  Zhang, Bob;  Du, Wenli;  Qian, Jianjun; et al.
Favorite | TC[WOS]:19 TC[Scopus]:13  IF:8.4/8.0 | Submit date：2022/05/17
Linear Regression  Convex Vector And Matrix Norm  Iteratively Re-weighted Algorithm  Convergence Analysis  
A Survey on Knee-oriented Multi-objective Evolutionary Optimization Journal article
Yu, Guo, Ma, Lianbo, Jin, Yaochu, Du, Wenli, Liu, Qiqi, Zhang, Hengmin. A Survey on Knee-oriented Multi-objective Evolutionary Optimization[J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2022, 26(6), 1452-1472.
Authors:  Yu, Guo;  Ma, Lianbo;  Jin, Yaochu;  Du, Wenli;  Liu, Qiqi; et al.
Favorite | TC[WOS]:28 TC[Scopus]:30  IF:11.7/15.5 | Submit date：2022/05/17
Knee  Multiobjective Optimization  Preference  
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  
Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications Conference paper
Zhang, Hengmin, Du, Wenli, Liu, Xiaoqian, Zhang, Bob, Qian, Feng. Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications[C], 2021, 121-130.
Authors:  Zhang, Hengmin;  Du, Wenli;  Liu, Xiaoqian;  Zhang, Bob;  Qian, Feng
Favorite | TC[Scopus]:0 | Submit date：2022/05/13
Admm  Convergence Analysis  Kkt Conditions  Matrix Trace Lasso  Nuclear Norm Factorization  
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