Hengmin Zhang

According to our database, Hengmin Zhang authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerated PALM for Nonconvex Low-Rank Matrix Recovery With Theoretical Analysis.

Hengmin Zhang, Bihan Wen, Zhiyuan Zha, Bob Zhang, Yang Tang, Guo Yu, Wenli Du

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean.

Hengmin Zhang, Jiaoyan Zhao, Bob Zhang, Chen Gong, Jianjun Qian, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis.

Hengmin Zhang, Junbin Gao, Jianjun Qian, Jian Yang, Chunyan Xu, Bob Zhang

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Efficient Image Classification via Structured Low-Rank Matrix Factorization Regression.

Hengmin Zhang, Jian Yang, Jianjun Qian, Guangwei Gao, Xiangyuan Lan, Zhiyuan Zha, Bihan Wen

IEEE Trans. Inf. Forensics Secur., 2024

2023

Efficient and Effective Nonconvex Low-Rank Subspace Clustering via SVT-Free Operators.

Hengmin Zhang, Shuyi Li, Jing Qiu, Yang Tang, Jie Wen, Zhiyuan Zha, Bihan Wen

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Three-dimensional Softmax Mechanism Guided Bidirectional GRU Networks for Hyperspectral Remote Sensing Image Classification.

Guoqiang Wu, Xin Ning, Luyang Hou, Feng He, Hengmin Zhang, Achyut Shankar

Signal Process., November, 2023

Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis.

Hengmin Zhang, Feng Qian, Peng Shi, Wenli Du, Yang Tang, Jianjun Qian, Chen Gong, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Linear discriminant analysis with generalized kernel constraint for robust image classification.

Shuyi Li, Hengmin Zhang, Ruijun Ma, Jianhang Zhou, Jie Wen, Bob Zhang

Pattern Recognit., April, 2023

Incorporating Linear Regression Problems Into an Adaptive Framework With Feasible Optimizations.

Hengmin Zhang, Feng Qian, Bob Zhang, Wenli Du, Jianjun Qian, Jian Yang

IEEE Trans. Multim., 2023

Nonconvex L1/2- regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction.

Yunyi Li, Yiqiu Jiang, Hengmin Zhang, Jianxun Liu, Xiangling Ding, Guan Gui

J. Frankl. Inst., 2023

2022

A Survey on Knee-Oriented Multiobjective Evolutionary Optimization.

Guo Yu, Lianbo Ma, Yaochu Jin, Wenli Du, Qiqi Liu, Hengmin Zhang

IEEE Trans. Evol. Comput., 2022

Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems.

Hengmin Zhang, Feng Qian, Fanhua Shang, Wenli Du, Jianjun Qian, Jian Yang

IEEE Trans. Cybern., 2022

Joint Optimal Transport With Convex Regularization for Robust Image Classification.

Jianjun Qian, Wai Keung Wong, Hengmin Zhang, Jin Xie, Jian Yang

IEEE Trans. Cybern., 2022

Nonconvex L_1/2-Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction.

Yunyi Li, Yiqiu Jiang, Hengmin Zhang, Jianxun Liu, Xiangling Ding, Guan Gui

CoRR, 2022

2021

Dual robust regression for pattern classification.

Jianjun Qian, Shumin Zhu, Wai Keung Wong, Hengmin Zhang, Zhihui Lai, Jian Yang

Inf. Sci., 2021

Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.

Hengmin Zhang, Wei Luo, Wenli Du, Jianjun Qian, Jian Yang, Bob Zhang

Proceedings of the Image and Graphics - 11th International Conference, 2021

2020

Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees.

Hengmin Zhang, Jianjun Qian, Bob Zhang, Jian Yang, Chen Gong, Yang Wei

IEEE Trans. Image Process., 2020

Learning Semantically Enhanced Feature for Fine-Grained Image Classification.

Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei

IEEE Signal Process. Lett., 2020

Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications.

Hengmin Zhang, Wenli Du, Xiaoqian Liu, Bob Zhang, Feng Qian

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations.

Hengmin Zhang, Jianjun Qian, Junbin Gao, Jian Yang, Chunyan Xu

IEEE Trans. Neural Networks Learn. Syst., 2019

Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization.

Hengmin Zhang, Chen Gong, Jianjun Qian, Bob Zhang, Chunyan Xu, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., 2019

LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization.

Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang

IEEE Trans. Cybern., 2019

Label-Smooth Learning for Fine-Grained Visual Categorization.

Xianjie Mo, Tingting Wei, Hengmin Zhang, Qiong Huang, Wei Luo

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2017

Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition.

Jianchun Xie, Jian Yang, Jianjun Qian, Ying Tai, Hengmin Zhang

IEEE Trans. Image Process., 2017

Weighted sparse coding regularized nonconvex matrix regression for robust face recognition.

Hengmin Zhang, Jian Yang, Jianchun Xie, Jianjun Qian, Bob Zhang

Inf. Sci., 2017

Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise.

Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo

Neurocomputing, 2017

Learning with Inadequate and Incorrect Supervision.

Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Adaptive noise dictionary construction via IRRPCA for face recognition.

Yu Chen, Jian Yang, Lei Luo, Hengmin Zhang, Jianjun Qian, Ying Tai, Jian Zhang

Pattern Recognit., 2016

2015

Locality-constrained group sparse coding regularized NMR for robust face recognition.

Hengmin Zhang, Wei Luo, Jian Yang, Lei Luo

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015