Hengmin Zhang

37 papers A* 1Journal 32Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-Source Attention Graph Neural Network for modeling long and short-term dependencies in chemical process forecasting.
Adv. Eng. Informatics
Jian Long, Bin Wang, Haifei Peng, Hengmin Zhang
2026 J jnl
Quantization compensation and decomposition GAN for high-fidelity underwater image compression.
Neurocomputing
Xufei Hu, Jian Zhang, Heng Zhang, Ming Li, Meng Huang, Jie Liu, Hengmin Zhang
2025 J jnl
CLEAN: Category Knowledge-Driven Compression Framework for Efficient 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Haonan Zhang, Longjun Liu, Fei Hui, Bo Zhang, Hengmin Zhang, Zhiyuan Zha
2024 J jnl
Accelerated PALM for Nonconvex Low-Rank Matrix Recovery With Theoretical Analysis.
IEEE Trans. Circuits Syst. Video Technol.
Hengmin Zhang, Bihan Wen, Zhiyuan Zha, Bob Zhang, Yang Tang, Guo Yu, Wenli Du
2024 J jnl
Dual low-rank structure embedding for robust visual information processing.
Knowl. Based Syst.
Jianhang Zhou, Hengmin Zhang, Shuyi Li, Bob Zhang, Leyuan Fang, David Zhang
2024 J jnl
Efficient Image Classification via Structured Low-Rank Matrix Factorization Regression.
IEEE Trans. Inf. Forensics Secur.
Hengmin Zhang, Jian Yang, Jianjun Qian, Guangwei Gao, Xiangyuan Lan, Zhiyuan Zha, Bihan Wen
2024 J jnl
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework.
Inf. Fusion
Hengmin Zhang, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha, Bihan Wen
2024 J jnl
Intrinsic-style distribution matching for arbitrary style transfer.
Knowl. Based Syst.
Meichen Liu, Songnan Lin, Hengmin Zhang, Zhiyuan Zha, Bihan Wen
2024 J jnl
Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis.
IEEE Trans. Circuits Syst. Video Technol.
Hengmin Zhang, Junbin Gao, Jianjun Qian, Jian Yang, Chunyan Xu, Bob Zhang
2024 J jnl
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean.
IEEE Trans. Neural Networks Learn. Syst.
Hengmin Zhang, Jiaoyan Zhao, Bob Zhang, Chen Gong, Jianjun Qian, Jian Yang
2023 J jnl
Efficient and Effective Nonconvex Low-Rank Subspace Clustering via SVT-Free Operators.
IEEE Trans. Circuits Syst. Video Technol.
Hengmin Zhang, Shuyi Li, Jing Qiu, Yang Tang, Jie Wen, Zhiyuan Zha, Bihan Wen
2023 J jnl
Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Hengmin Zhang, Feng Qian, Peng Shi, Wenli Du, Yang Tang, Jianjun Qian, Chen Gong, Jian Yang
2023 J jnl
Incorporating Linear Regression Problems Into an Adaptive Framework With Feasible Optimizations.
IEEE Trans. Multim.
Hengmin Zhang, Feng Qian, Bob Zhang, Wenli Du, Jianjun Qian, Jian Yang
2023 J jnl
Linear discriminant analysis with generalized kernel constraint for robust image classification.
Pattern Recognit.
Shuyi Li, Hengmin Zhang, Ruijun Ma, Jianhang Zhou, Jie Wen, Bob Zhang
2023 J jnl
Nonconvex L1/2- regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction.
J. Frankl. Inst.
Yunyi Li, Yiqiu Jiang, Hengmin Zhang, Jianxun Liu, Xiangling Ding, Guan Gui
2023 J jnl
Three-dimensional Softmax Mechanism Guided Bidirectional GRU Networks for Hyperspectral Remote Sensing Image Classification.
Signal Process.
Guoqiang Wu, Xin Ning, Luyang Hou, Feng He, Hengmin Zhang, Achyut Shankar
2022 J jnl
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput.
Guo Yu, Lianbo Ma, Yaochu Jin, Wenli Du, Qiqi Liu, Hengmin Zhang
2022 J jnl
Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems.
IEEE Trans. Cybern.
Hengmin Zhang, Feng Qian, Fanhua Shang, Wenli Du, Jianjun Qian, Jian Yang
2022 J jnl
Joint Optimal Transport With Convex Regularization for Robust Image Classification.
IEEE Trans. Cybern.
Jianjun Qian, Wai Keung Wong, Hengmin Zhang, Jin Xie, Jian Yang
2022 J jnl
Nonconvex L
CoRR
Yunyi Li, Yiqiu Jiang, Hengmin Zhang, Jianxun Liu, Xiangling Ding, Guan Gui
2021 J jnl
Dual robust regression for pattern classification.
Inf. Sci.
Jianjun Qian, Shumin Zhu, Wai Keung Wong, Hengmin Zhang, Zhihui Lai, Jian Yang
2021 — conf
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.
ICIG (2)
Hengmin Zhang, Wei Luo, Wenli Du, Jianjun Qian, Jian Yang, Bob Zhang
2020 — conf
Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications.
ICCSIP
Hengmin Zhang, Wenli Du, Xiaoqian Liu, Bob Zhang, Feng Qian
2020 J jnl
Learning Semantically Enhanced Feature for Fine-Grained Image Classification.
CoRR
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei
2020 J jnl
Learning Semantically Enhanced Feature for Fine-Grained Image Classification.
IEEE Signal Process. Lett.
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei
2020 J jnl
Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees.
IEEE Trans. Image Process.
Hengmin Zhang, Jianjun Qian, Bob Zhang, Jian Yang, Chen Gong, Yang Wei
2019 J jnl
Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization.
IEEE Trans. Neural Networks Learn. Syst.
Hengmin Zhang, Chen Gong, Jianjun Qian, Bob Zhang, Chunyan Xu, Jian Yang
2019 J jnl
LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization.
IEEE Trans. Cybern.
Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang
2019 — conf
Label-Smooth Learning for Fine-Grained Visual Categorization.
ACPR (1)
Xianjie Mo, Tingting Wei, Hengmin Zhang, Qiong Huang, Wei Luo
2019 J jnl
Learning with Inadequate and Incorrect Supervision.
CoRR
Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao
2019 J jnl
Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations.
IEEE Trans. Neural Networks Learn. Syst.
Hengmin Zhang, Jianjun Qian, Junbin Gao, Jian Yang, Chunyan Xu
2017 A* conf
Learning with Inadequate and Incorrect Supervision.
ICDM
Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao
2017 J jnl
Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise.
Neurocomputing
Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo
2017 J jnl
Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition.
IEEE Trans. Image Process.
Jianchun Xie, Jian Yang, Jianjun Qian, Ying Tai, Hengmin Zhang
2017 J jnl
Weighted sparse coding regularized nonconvex matrix regression for robust face recognition.
Inf. Sci.
Hengmin Zhang, Jian Yang, Jianchun Xie, Jianjun Qian, Bob Zhang
2016 J jnl
Adaptive noise dictionary construction via IRRPCA for face recognition.
Pattern Recognit.
Yu Chen, Jian Yang, Lei Luo, Hengmin Zhang, Jianjun Qian, Ying Tai, Jian Zhang
2015 — conf
Locality-constrained group sparse coding regularized NMR for robust face recognition.
ACPR
Hengmin Zhang, Wei Luo, Jian Yang, Lei Luo