Hengmin Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Convergence Analysis

Low Rank Matrix

Face Recognition

Norm Minimization

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

IEEE Trans. Circuits Syst. Video Technol.

Publications

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) (2024)
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 (2024)
Meichen Liu, Songnan Lin, Hengmin Zhang, Zhiyuan Zha, Bihan Wen
Intrinsic-style distribution matching for arbitrary style transfer. Knowl. Based Syst. 296 (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2024)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2023)
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) (2022)
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) (2022)
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) (2022)
Yunyi Li, Yiqiu Jiang, Hengmin Zhang, Jianxun Liu, Xiangling Ding, Guan Gui
-Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction. CoRR (2022)
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)
Jianjun Qian, Shumin Zhu, Wai Keung Wong, Hengmin Zhang, Zhihui Lai, Jian Yang
Dual robust regression for pattern classification. Inf. Sci. 546 (2021)
Hengmin Zhang, Wenli Du, Xiaoqian Liu, Bob Zhang, Feng Qian
Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications. ICCSIP (2020)
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. CoRR (2020)
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 (2020)
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Process. Lett. 27 (2020)
Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao
Learning with Inadequate and Incorrect Supervision. CoRR (2019)
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) (2019)
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) (2019)
Xianjie Mo, Tingting Wei, Hengmin Zhang, Qiong Huang, Wei Luo
Label-Smooth Learning for Fine-Grained Visual Categorization. ACPR (1) (2019)
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) (2019)
Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo
Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise. Neurocomputing 269 (2017)
Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao
Learning with Inadequate and Incorrect Supervision. ICDM (2017)
Hengmin Zhang, Jian Yang, Jianchun Xie, Jianjun Qian, Bob Zhang
Weighted sparse coding regularized nonconvex matrix regression for robust face recognition. Inf. Sci. 394 (2017)
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) (2017)
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 (2016)
Hengmin Zhang, Wei Luo, Jian Yang, Lei Luo
Locality-constrained group sparse coding regularized NMR for robust face recognition. ACPR (2015)