Locality-constrained group sparse coding regularized NMR for robust face recognition. - Hengmin Zhang; Wei Luo 006; Jian Yang 003; Lei Luo 001 (ACPR, 2015)

Adaptive noise dictionary construction via IRRPCA for face recognition. - Yu Chen 037; Jian Yang 003; Lei Luo 001; Hengmin Zhang; Jianjun Qian; Ying Tai; Jian Zhang 025 (Pattern Recognit., 2016)

Learning with Inadequate and Incorrect Supervision. - Chen Gong 002; Hengmin Zhang; Jian Yang 003; Dacheng Tao (ICDM, 2017)

Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise. - Hengmin Zhang; Jian Yang 003; Jianjun Qian; Wei Luo 006 (Neurocomputing, 2017)

Weighted sparse coding regularized nonconvex matrix regression for robust face recognition. - Hengmin Zhang; Jian Yang 003; Jianchun Xie; Jianjun Qian; Bob Zhang 001 (Inf. Sci., 2017)

Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition. - Jianchun Xie; Jian Yang 003; Jianjun Qian; Ying Tai; Hengmin Zhang (IEEE Trans. Image Process., 2017)

Label-Smooth Learning for Fine-Grained Visual Categorization. - Xianjie Mo; Tingting Wei; Hengmin Zhang; Qiong Huang; Wei Luo 006 (ACPR (1), 2019)

LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization. - Hengmin Zhang; Jian Yang 003; Fanhua Shang; Chen Gong 002; Zhenyu Zhang 005 (IEEE Trans. Cybern., 2019)

Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization. - Hengmin Zhang; Chen Gong 002; Jianjun Qian; Bob Zhang 001; Chunyan Xu; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations. - Hengmin Zhang; Jianjun Qian; Junbin Gao; Jian Yang 003; Chunyan Xu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications. - Hengmin Zhang; Wenli Du; Xiaoqian Liu; Bob Zhang 001; Feng Qian 004 (ICCSIP, 2020)

Learning Semantically Enhanced Feature for Fine-Grained Image Classification. - Wei Luo 006; Hengmin Zhang; Jun Li 027; Xiu-Shen Wei (IEEE Signal Process. Lett., 2020)

Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees. - Hengmin Zhang; Jianjun Qian; Bob Zhang 001; Jian Yang 003; Chen Gong 002; Yang Wei (IEEE Trans. Image Process., 2020)

Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization. - Hengmin Zhang; Wei Luo 006; Wenli Du; Jianjun Qian; Jian Yang 003; Bob Zhang 001 (ICIG (2), 2021)

Dual robust regression for pattern classification. - Jianjun Qian; Shumin Zhu; Wai Keung Wong; Hengmin Zhang; Zhihui Lai 001; Jian Yang 003 (Inf. Sci., 2021)

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 001 (CoRR, 2022)

Joint Optimal Transport With Convex Regularization for Robust Image Classification. - Jianjun Qian; Wai Keung Wong; Hengmin Zhang; Jin Xie 001; Jian Yang 003 (IEEE Trans. Cybern., 2022)

Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems. - Hengmin Zhang; Feng Qian 004; Fanhua Shang; Wenli Du; Jianjun Qian; Jian Yang 003 (IEEE Trans. Cybern., 2022)

A Survey on Knee-Oriented Multiobjective Evolutionary Optimization. - Guo Yu 001; Lianbo Ma; Yaochu Jin; Wenli Du; Qiqi Liu; Hengmin Zhang (IEEE Trans. Evol. Comput., 2022)

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 001 (J. Frankl. Inst., 2023)

Incorporating Linear Regression Problems Into an Adaptive Framework With Feasible Optimizations. - Hengmin Zhang; Feng Qian 004; Bob Zhang 001; Wenli Du; Jianjun Qian; Jian Yang 003 (IEEE Trans. Multim., 2023)

Linear discriminant analysis with generalized kernel constraint for robust image classification. - Shuyi Li; Hengmin Zhang; Ruijun Ma 001; Jianhang Zhou; Jie Wen 001; Bob Zhang 001 (Pattern Recognit., 2023)

Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis. - Hengmin Zhang; Feng Qian 004; Peng Shi 001; Wenli Du; Yang Tang; Jianjun Qian; Chen Gong 002; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Three-dimensional Softmax Mechanism Guided Bidirectional GRU Networks for Hyperspectral Remote Sensing Image Classification. - Guoqiang Wu; Xin Ning 001; Luyang Hou; Feng He; Hengmin Zhang; Achyut Shankar (Signal Process., 2023)

Efficient and Effective Nonconvex Low-Rank Subspace Clustering via SVT-Free Operators. - Hengmin Zhang; Shuyi Li; Jing Qiu 002; Yang Tang; Jie Wen 001; Zhiyuan Zha; Bihan Wen (IEEE Trans. Circuits Syst. Video Technol., 2023)

Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. - Hengmin Zhang; Jian Yang 003; Jianjun Qian; Chen Gong 002; Xin Ning 001; Zhiyuan Zha; Bihan Wen (Inf. Fusion, 2024)

Intrinsic-style distribution matching for arbitrary style transfer. - Meichen Liu; Songnan Lin; Hengmin Zhang; Zhiyuan Zha; Bihan Wen (Knowl. Based Syst., 2024)

Dual low-rank structure embedding for robust visual information processing. - Jianhang Zhou; Hengmin Zhang; Shuyi Li; Bob Zhang 001; Leyuan Fang; David Zhang 001 (Knowl. Based Syst., 2024)

Efficient Image Classification via Structured Low-Rank Matrix Factorization Regression. - Hengmin Zhang; Jian Yang 003; Jianjun Qian; Guangwei Gao; Xiangyuan Lan; Zhiyuan Zha; Bihan Wen (IEEE Trans. Inf. Forensics Secur., 2024)

Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis. - Hengmin Zhang; Junbin Gao; Jianjun Qian; Jian Yang 003; Chunyan Xu; Bob Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean. - Hengmin Zhang; Jiaoyan Zhao; Bob Zhang 001; Chen Gong 002; Jianjun Qian; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Accelerated PALM for Nonconvex Low-Rank Matrix Recovery With Theoretical Analysis. - Hengmin Zhang; Bihan Wen; Zhiyuan Zha; Bob Zhang 001; Yang Tang; Guo Yu 001; Wenli Du (IEEE Trans. Circuits Syst. Video Technol., 2024)