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2020 – today
- 2024
[j26]Hengmin Zhang
, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha, Bihan Wen:
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Inf. Fusion 108: 102347 (2024)- [j25]Jianhang Zhou, Hengmin Zhang, Shuyi Li, Bob Zhang, Leyuan Fang, David Zhang:
Dual low-rank structure embedding for robust visual information processing. Knowl. Based Syst. 296: 111821 (2024) - [j24]Meichen Liu, Songnan Lin, Hengmin Zhang, Zhiyuan Zha, Bihan Wen:
Intrinsic-style distribution matching for arbitrary style transfer. Knowl. Based Syst. 296: 111898 (2024) - [j23]Hengmin Zhang, Junbin Gao, Jianjun Qian, Jian Yang, Chunyan Xu, Bob Zhang:
Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis. IEEE Trans. Circuits Syst. Video Technol. 34(2): 828-838 (2024) - [j22]Hengmin Zhang, Bihan Wen, Zhiyuan Zha, Bob Zhang, Yang Tang, Guo Yu, Wenli Du:
Accelerated PALM for Nonconvex Low-Rank Matrix Recovery With Theoretical Analysis. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2304-2317 (2024) - [j21]Hengmin Zhang, Jian Yang, Jianjun Qian, Guangwei Gao, Xiangyuan Lan, Zhiyuan Zha, Bihan Wen:
Efficient Image Classification via Structured Low-Rank Matrix Factorization Regression. IEEE Trans. Inf. Forensics Secur. 19: 1496-1509 (2024) - [j20]Hengmin Zhang, Jiaoyan Zhao, Bob Zhang, Chen Gong, Jianjun Qian, Jian Yang:
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3012-3026 (2024) - 2023
- [j19]Yunyi Li, Yiqiu Jiang, Hengmin Zhang, Jianxun Liu, Xiangling Ding, Guan Gui:
Nonconvex L1/2- regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction. J. Frankl. Inst. 360(6): 4172-4195 (2023) - [j18]Shuyi Li, Hengmin Zhang, Ruijun Ma, Jianhang Zhou, Jie Wen, Bob Zhang:
Linear discriminant analysis with generalized kernel constraint for robust image classification. Pattern Recognit. 136: 109196 (2023) - [j17]Guoqiang Wu, Xin Ning, Luyang Hou, Feng He, Hengmin Zhang, Achyut Shankar:
Three-dimensional Softmax Mechanism Guided Bidirectional GRU Networks for Hyperspectral Remote Sensing Image Classification. Signal Process. 212: 109151 (2023) - [j16]Hengmin Zhang, Shuyi Li, Jing Qiu, Yang Tang, Jie Wen, Zhiyuan Zha, Bihan Wen:
Efficient and Effective Nonconvex Low-Rank Subspace Clustering via SVT-Free Operators. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7515-7529 (2023) - [j15]Hengmin Zhang, Feng Qian, Bob Zhang, Wenli Du, Jianjun Qian, Jian Yang:
Incorporating Linear Regression Problems Into an Adaptive Framework With Feasible Optimizations. IEEE Trans. Multim. 25: 4041-4051 (2023) - [j14]Hengmin Zhang, Feng Qian, Peng Shi, Wenli Du, Yang Tang, Jianjun Qian, Chen Gong, Jian Yang:
Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5342-5353 (2023) - 2022
- [j13]Jianjun Qian, Wai Keung Wong, Hengmin Zhang, Jin Xie, Jian Yang:
Joint Optimal Transport With Convex Regularization for Robust Image Classification. IEEE Trans. Cybern. 52(3): 1553-1564 (2022) - [j12]Hengmin Zhang, Feng Qian, Fanhua Shang, Wenli Du, Jianjun Qian, Jian Yang:
Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems. IEEE Trans. Cybern. 52(5): 3276-3288 (2022) - [j11]Guo Yu, Lianbo Ma, Yaochu Jin, Wenli Du, Qiqi Liu, Hengmin Zhang:
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 26(6): 1452-1472 (2022) - [i3]Yunyi Li, Yiqiu Jiang, Hengmin Zhang, Jianxun Liu, Xiangling Ding, Guan Gui:
Nonconvex L1/2-Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction. CoRR abs/2205.07185 (2022) - 2021
- [j10]Jianjun Qian, Shumin Zhu, Wai Keung Wong, Hengmin Zhang, Zhihui Lai, Jian Yang:
Dual robust regression for pattern classification. Inf. Sci. 546: 1014-1029 (2021) - [c5]Hengmin Zhang, Wei Luo, Wenli Du, Jianjun Qian, Jian Yang, Bob Zhang:
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization. ICIG (2) 2021: 106-119 - 2020
- [j9]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Process. Lett. 27: 1545-1549 (2020) - [j8]Hengmin Zhang, Jianjun Qian, Bob Zhang, Jian Yang, Chen Gong, Yang Wei:
Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees. IEEE Trans. Image Process. 29: 3132-3142 (2020) - [c4]Hengmin Zhang, Wenli Du, Xiaoqian Liu, Bob Zhang, Feng Qian:
Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications. ICCSIP 2020: 121-130 - [i2]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. CoRR abs/2006.13457 (2020)
2010 – 2019
- 2019
- [j7]Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang:
LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization. IEEE Trans. Cybern. 49(5): 1722-1734 (2019) - [j6]Hengmin Zhang, Jianjun Qian, Junbin Gao, Jian Yang, Chunyan Xu:
Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2825-2839 (2019) - [j5]Hengmin Zhang, Chen Gong, Jianjun Qian, Bob Zhang, Chunyan Xu, Jian Yang:
Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2916-2925 (2019) - [c3]Xianjie Mo, Tingting Wei, Hengmin Zhang, Qiong Huang, Wei Luo:
Label-Smooth Learning for Fine-Grained Visual Categorization. ACPR (1) 2019: 17-31 - [i1]Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao:
Learning with Inadequate and Incorrect Supervision. CoRR abs/1902.07429 (2019) - 2017
- [j4]Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo:
Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise. Neurocomputing 269: 188-198 (2017) - [j3]Hengmin Zhang, Jian Yang, Jianchun Xie, Jianjun Qian, Bob Zhang:
Weighted sparse coding regularized nonconvex matrix regression for robust face recognition. Inf. Sci. 394: 1-17 (2017) - [j2]Jianchun Xie, Jian Yang, Jianjun Qian, Ying Tai, Hengmin Zhang:
Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition. IEEE Trans. Image Process. 26(5): 2286-2295 (2017) - [c2]Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao:
Learning with Inadequate and Incorrect Supervision. ICDM 2017: 889-894 - 2016
- [j1]Yu Chen, Jian Yang, Lei Luo, Hengmin Zhang, Jianjun Qian, Ying Tai, Jian Zhang:
Adaptive noise dictionary construction via IRRPCA for face recognition. Pattern Recognit. 59: 26-41 (2016) - 2015
- [c1]Hengmin Zhang, Wei Luo, Jian Yang, Lei Luo:
Locality-constrained group sparse coding regularized NMR for robust face recognition. ACPR 2015: 740-744
Coauthor Index
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