A recursive divide-and-conquer approach for sparse principal component analysis. - Qian Zhao 002; Deyu Meng; Zongben Xu (CoRR, 2012)

Dictionary learning under global sparsity constraint - Deyu Meng; Yee Leung; Qian Zhao 002; Zongben Xu (CoRR, 2012)

Improve robustness of sparse PCA by L1-norm maximization. - Deyu Meng; Qian Zhao 002; Zongben Xu (Pattern Recognit., 2012)

Learning dictionary from signals under global sparsity constraint. - Deyu Meng; Qian Zhao 002; Yee Leung; Zongben Xu (Neurocomputing, 2013)

Robust Principal Component Analysis with Complex Noise. - Qian Zhao 002; Deyu Meng; Zongben Xu; Wangmeng Zuo; Lei Zhang 006 (ICML, 2014)

Robust sparse principal component analysis. - Qian Zhao 002; Deyu Meng; Zongben Xu (Sci. China Inf. Sci., 2014)

Self-Paced Curriculum Learning. - Lu Jiang 004; Deyu Meng; Qian Zhao 002; Shiguang Shan; Alexander G. Hauptmann (AAAI, 2015)

Self-Paced Learning for Matrix Factorization. - Qian Zhao 002; Deyu Meng; Lu Jiang 004; Qi Xie; Zongben Xu; Alexander G. Hauptmann (AAAI, 2015)

Low-Rank Matrix Factorization under General Mixture Noise Distributions. - Xiangyong Cao; Yang Chen 057; Qian Zhao 002; Deyu Meng; Yao Wang 003; Dong Wang; Zongben Xu (ICCV, 2015)

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection. - Dingwen Zhang; Deyu Meng; Chao Li 028; Lu Jiang 004; Qian Zhao 002; Junwei Han 001 (ICCV, 2015)

A Novel Sparsity Measure for Tensor Recovery. - Qian Zhao 002; Deyu Meng; Xu Kong; Qi Xie; Wenfei Cao; Yao Wang 003; Zongben Xu (ICCV, 2015)

What Objective Does Self-paced Learning Indeed Optimize? - Deyu Meng; Qian Zhao 002 (CoRR, 2015)

A block coordinate descent approach for sparse principal component analysis. - Qian Zhao 002; Deyu Meng; Zongben Xu; Chenqiang Gao (Neurocomputing, 2015)

L1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method. - Qian Zhao 002; Deyu Meng; Zongben Xu; Wangmeng Zuo; Yan Yan 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Robust Tensor Factorization with Unknown Noise. - Xiai Chen; Zhi Han; Yao Wang 003; Qian Zhao 002; Deyu Meng; Yandong Tang (CVPR, 2016)

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization. - Qi Xie; Qian Zhao 002; Deyu Meng; Zongben Xu; Shuhang Gu; Wangmeng Zuo; Lei Zhang 006 (CVPR, 2016)

Low-rank Matrix Factorization under General Mixture Noise Distributions. - Xiangyong Cao; Qian Zhao 002; Deyu Meng; Yang Chen 057; Zongben Xu (CoRR, 2016)

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. - Xiangyong Cao; Qian Zhao 002; Deyu Meng; Yang Chen 057; Zongben Xu (IEEE Trans. Image Process., 2016)

Should We Encode Rain Streaks in Video as Deterministic or Stochastic? - Wei Wei 006; Lixuan Yi; Qi Xie; Qian Zhao 002; Deyu Meng; Zongben Xu (ICCV, 2017)

A General Model for Robust Tensor Factorization with Unknown Noise. - Xiai Chen; Zhi Han; Yao Wang 003; Qian Zhao 002; Deyu Meng; Lin Lin 007; Yandong Tang (CoRR, 2017)

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning. - Kaidong Wang; Yao Wang 003; Qian Zhao 002; Deyu Meng; Zongben Xu (CoRR, 2017)

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. - Xiangyong Cao; Lin Xu 001; Deyu Meng; Qian Zhao 002; Zongben Xu (Neurocomputing, 2017)

A theoretical understanding of self-paced learning. - Deyu Meng; Qian Zhao 002; Lu Jiang 004 (Inf. Sci., 2017)

Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization. - Yao Wang 003; Lin Lin 007; Qian Zhao 002; Tianwei Yue; Deyu Meng; Yee Leung (IEEE Geosci. Remote. Sens. Lett., 2017)

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism. - Qi Xie; Dong Zeng; Qian Zhao 002; Deyu Meng; Zongben Xu; Zhengrong Liang; Jianhua Ma 001 (IEEE Trans. Medical Imaging, 2017)

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding. - Minghan Li 001; Qi Xie; Qian Zhao 002; Wei Wei 006; Shuhang Gu; Jing Tao; Deyu Meng (CVPR, 2018)

Semi-supervised CNN for Single Image Rain Removal. - Wei Wei 006; Deyu Meng; Qian Zhao 002; Zongben Xu (CoRR, 2018)

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement. - Mingrui Geng; Yun Deng; Qian Zhao 002; Qi Xie; Dong Zeng; Jianhua Ma 001; Wangmeng Zuo; Deyu Meng (CoRR, 2018)

Discovering Influential Factors in Variational Autoencoder. - Shiqi Liu 001; Jingxin Liu; Qian Zhao 002; Xiangyong Cao; Huibin Li; Hongying Meng; Sheng Liu; Deyu Meng (CoRR, 2018)

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing. - Jiangjun Peng; Qi Xie; Qian Zhao 002; Yao Wang 003; Deyu Meng; Yee Leung (CoRR, 2018)

Robust subspace clustering via penalized mixture of Gaussians. - Jing Yao 002; Xiangyong Cao; Qian Zhao 002; Deyu Meng; Zongben Xu (Neurocomputing, 2018)

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery. - Qi Xie; Qian Zhao 002; Deyu Meng; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Infrared small-dim target detection based on Markov random field guided noise modeling. - Chenqiang Gao; Lan Wang; Yongxing Xiao; Qian Zhao 002; Deyu Meng (Pattern Recognit., 2018)

Hyperspectral Image Restoration under Complex Multi-Band Noises. - Zongsheng Yue; Deyu Meng; Yongqing Sun; Qian Zhao 002 (Remote. Sens., 2018)

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition. - Yao Wang 003; Jiangjun Peng; Qian Zhao 002; Yee Leung; Xi-Le Zhao; Deyu Meng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure. - Yang Chen 057; Xiangyong Cao; Qian Zhao 002; Deyu Meng; Zongben Xu (IEEE Trans. Cybern., 2018)

A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians. - Xiai Chen; Zhi Han; Yao Wang 003; Qian Zhao 002; Deyu Meng; Lin Lin 007; Yandong Tang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Semi-Supervised Transfer Learning for Image Rain Removal. - Wei Wei 006; Deyu Meng; Qian Zhao 002; Zongben Xu; Ying Wu (CVPR, 2019)

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. - Qi Xie; Minghao Zhou; Qian Zhao 002; Deyu Meng; Wangmeng Zuo; Zongben Xu (CVPR, 2019)

Robust CSI Estimation Under Complex Communication Environment. - Haipei Zhang; Jiang Xue 001; Deyu Meng; Qian Zhao 002; Zongben Xu (ICC, 2019)

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting. - Jun Shu; Qi Xie; Lixuan Yi; Qian Zhao 002; Sanping Zhou; Zongben Xu; Deyu Meng (NeurIPS, 2019)

Variational Denoising Network: Toward Blind Noise Modeling and Removal. - Zongsheng Yue; Hongwei Yong; Qian Zhao 002; Deyu Meng; Lei Zhang 006 (NeurIPS, 2019)

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. - Jun Shu; Qi Xie; Lixuan Yi; Qian Zhao 002; Sanping Zhou; Zongben Xu; Deyu Meng (CoRR, 2019)

Variational Bayes' method for functions with applications to some inverse problems. - Junxiong Jia; Qian Zhao 002; Zongben Xu; Deyu Meng (CoRR, 2019)

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding. - Minghan Li 001; Xiangyong Cao; Qian Zhao 002; Lei Zhang 006; Chenqiang Gao; Deyu Meng (CoRR, 2019)

A Survey on Rain Removal from Video and Single Image. - Hong Wang 021; Minghan Li 001; Yichen Wu; Qian Zhao 002; Deyu Meng (CoRR, 2019)

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing. - Jing Yao 002; Deyu Meng; Qian Zhao 002; Wenfei Cao; Zongben Xu (IEEE Trans. Image Process., 2019)

A Model-Driven Deep Neural Network for Single Image Rain Removal. - Hong Wang 021; Qi Xie; Qian Zhao 002; Deyu Meng (CVPR, 2020)

Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation. - Zongsheng Yue; Qian Zhao 002; Lei Zhang 006; Deyu Meng (ECCV (10), 2020)

MEP-Based Channel Estimation under Complex Communication Environment. - Zhengyang Hu 001; Jiang Xue 001; Deyu Meng; Qian Zhao 002; Zongben Xu (ICC, 2020)

Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising. - Qi Xie; Qian Zhao 002; Zongben Xu; Deyu Meng (Sci. China Inf. Sci., 2020)

Learning Adaptive Loss for Robust Learning with Noisy Labels. - Jun Shu; Qian Zhao 002; Keyu Chen; Zongben Xu; Deyu Meng (CoRR, 2020)

Structural Residual Learning for Single Image Rain Removal. - Hong Wang 021; Yichen Wu; Qi Xie; Qian Zhao 002; Yong Liang 001; Deyu Meng (CoRR, 2020)

Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. - Jun Shu; Qian Zhao 002; Zongben Xu; Deyu Meng (CoRR, 2020)

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. - Jun Shu; Yanwen Zhu; Qian Zhao 002; Deyu Meng; Zongben Xu (CoRR, 2020)

Meta Feature Modulator for Long-tailed Recognition. - Renzhen Wang; Kaiqin Hu; Yanwen Zhu; Jun Shu; Qian Zhao 002; Deyu Meng (CoRR, 2020)

From Rain Removal to Rain Generation. - Hong Wang 021; Zongsheng Yue; Qi Xie; Qian Zhao 002; Deyu Meng (CoRR, 2020)

Variational Image Restoration Network. - Zongsheng Yue; Hongwei Yong; Qian Zhao 002; Lei Zhang 006; Deyu Meng (CoRR, 2020)

Single image rain streaks removal: a review and an exploration. - Hong Wang 021; Qi Xie; Yichen Wu; Qian Zhao 002; Deyu Meng (Int. J. Mach. Learn. Cybern., 2020)

Discovering influential factors in variational autoencoders. - Shiqi Liu 001; Jingxin Liu; Qian Zhao 002; Xiangyong Cao; Huibin Li; Deyu Meng; Hongying Meng; Sheng Liu (Pattern Recognit., 2020)

Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans. - Yuanke Zhang; Jiangjun Peng; Dong Zeng; Qi Xie; Sui Li; Zhaoying Bian; Yongbo Wang; Yong Zhang; Qian Zhao 002; Hao Zhang 026; Zhengrong Liang; Hongbing Lu; et al. (IEEE Trans. Computational Imaging, 2020)

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing. - Jiangjun Peng; Qi Xie; Qian Zhao 002; Yao Wang 003; Yee Leung; Deyu Meng (IEEE Trans. Image Process., 2020)

Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction. - Dong Zeng; Lisha Yao; Yongshuai Ge; Sui Li; Qi Xie; Hao Zhang 026; Zhaoying Bian; Qian Zhao 002; Yuanqing Li 001; Zongben Xu; Deyu Meng; Jianhua Ma 001 (IEEE Trans. Medical Imaging, 2020)

Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise. - Zongsheng Yue; Hongwei Yong; Deyu Meng; Qian Zhao 002; Yee Leung; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Multilinear Multitask Learning by Rank-Product Regularization. - Qian Zhao 002; Xiangyu Rui; Zhi Han; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning to Purify Noisy Labels via Meta Soft Label Corrector. - Yichen Wu; Jun Shu; Qi Xie; Qian Zhao 002; Deyu Meng (AAAI, 2021)

Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise. - Xiangyu Rui; Xiangyong Cao; Qi Xie; Zongsheng Yue; Qian Zhao 002; Deyu Meng (CVPR, 2021)

From Rain Generation to Rain Removal. - Hong Wang 021; Zongsheng Yue; Qi Xie; Qian Zhao 002; Yefeng Zheng 001; Deyu Meng (CVPR, 2021)

Semi-Supervised Video Deraining With Dynamical Rain Generator. - Zongsheng Yue; Jianwen Xie; Qian Zhao 002; Deyu Meng (CVPR, 2021)

Unsupervised Single Image Super-resolution Under Complex Noise. - Zongsheng Yue; Qian Zhao 002; Jianwen Xie; Lei Zhang 006; Deyu Meng (CoRR, 2021)

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. - Hong Wang 021; Qi Xie; Qian Zhao 002; Yong Liang 001; Deyu Meng (CoRR, 2021)

Structural residual learning for single image rain removal. - Hong Wang 021; Yichen Wu; Qi Xie; Qian Zhao 002; Yong Liang 001; Shijun Zhang; Deyu Meng (Knowl. Based Syst., 2021)

Robust online rain removal for surveillance videos with dynamic rains. - Lixuan Yi; Qian Zhao 002; Wei Wei 006; Zongben Xu (Knowl. Based Syst., 2021)

Variational Bayes' Method for Functions with Applications to Some Inverse Problems. - Junxiong Jia; Qian Zhao 002; Zongben Xu; Deyu Meng; Yee Leung (SIAM J. Sci. Comput., 2021)

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning. - Kaidong Wang; Yao Wang 003; Qian Zhao 002; Deyu Meng; Xiuwu Liao; Zongben Xu (IEEE Trans. Cybern., 2021)

Online Rain/Snow Removal From Surveillance Videos. - Minghan Li 001; Xiangyong Cao; Qian Zhao 002; Lei Zhang 006; Deyu Meng (IEEE Trans. Image Process., 2021)

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel. - Zongsheng Yue; Qian Zhao 002; Jianwen Xie; Lei Zhang 006; Deyu Meng; Kwan-Yee K. Wong (CVPR, 2022)

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. - Jiahong Fu; Hong Wang 021; Qi Xie; Qian Zhao 002; Deyu Meng; Zongben Xu (ECCV (19), 2022)

Survey on rain removal from videos or a single image. - Hong Wang 021; Yichen Wu; Minghan Li 001; Qian Zhao 002; Deyu Meng (Sci. China Inf. Sci., 2022)

Diagnosing Batch Normalization in Class Incremental Learning. - Minghao Zhou; Quanziang Wang; Jun Shu; Qian Zhao 002; Deyu Meng (CoRR, 2022)

A deep variational Bayesian framework for blind image deblurring. - Qian Zhao 002; Hui Wang 103; Zongsheng Yue; Deyu Meng (Knowl. Based Syst., 2022)

MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion. - Qi Xie; Minghao Zhou; Qian Zhao 002; Zongben Xu; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Robust Online CSI Estimation in a Complex Environment. - Heng Du; Yun Deng; Jiang Xue 001; Deyu Meng; Qian Zhao 002; Zongben Xu (IEEE Trans. Wirel. Commun., 2022)

Interactive Segmentation as Gaussian Process Classification. - Minghao Zhou; Hong Wang 021; Qian Zhao 002; Yuexiang Li; Yawen Huang; Deyu Meng; Yefeng Zheng 001 (CVPR, 2023)

A Hyper-weight Network for Hyperspectral Image Denoising. - Xiangyu Rui; Xiangyong Cao; Jun Shu; Qian Zhao 002; Deyu Meng (CoRR, 2023)

Guided Image Restoration via Simultaneous Feature and Image Guided Fusion. - Xinyi Liu; Qian Zhao 002; Jie Liang 007; Hui Zeng 001; Deyu Meng; Lei Zhang 006 (CoRR, 2023)

MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. - Jun Shu; Yanwen Zhu; Qian Zhao 002; Deyu Meng; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Probabilistic Formulation for Meta-Weight-Net. - Qian Zhao 002; Jun Shu; Xiang Yuan; Ziming Liu; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. - Qi Xie; Qian Zhao 002; Zongben Xu; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Stein variational gradient descent with learned direction. - Qian Zhao 002; Hui Wang 103; Xuehu Zhu; Deyu Meng (Inf. Sci., 2023)

Robust channel estimation based on the maximum entropy principle. - Zhengyang Hu 001; Jiang Xue 001; Feng Li 057; Qian Zhao 002; Deyu Meng; Zongben Xu (Sci. China Inf. Sci., 2023)

A Tensor-Based Online RPCA Model for Compressive Background Subtraction. - Zina Li; Yao Wang 003; Qian Zhao 002; Shijun Zhang; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2023)

Blind Image Deconvolution by Generative-Based Kernel Prior and Initializer via Latent Encoding. - Jiangtao Zhang; Zongsheng Yue; Hui Wang 103; Qian Zhao 002; Deyu Meng (ECCV (46), 2024)

Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method. - Yuji Lin; Xianqiang Lyu; Junhui Hou; Qian Zhao 002; Deyu Meng (CoRR, 2024)

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction. - Yuntao Shou; Peiqiang Yan; Xingjian Yuan; Xiangyong Cao; Qian Zhao 002; Deyu Meng (CoRR, 2024)

HQ-IRN: Quantizing High-Frequency Features for Image Rescaling. - Zibo Song; Qian Zhao 002; Deyu Meng (IEEE Signal Process. Lett., 2024)

Learnable Representative Coefficient Image Denoiser for Hyperspectral Image. - Jiangjun Peng; Hailin Wang; Xiangyong Cao; Qian Zhao 002; Jing Yao 002; Hongying Zhang 001; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2024)

Adaptive weighting function for weighted nuclear norm based matrix/tensor completion. - Qian Zhao 002; Yuji Lin; Fengxingyu Wang; Deyu Meng (Int. J. Mach. Learn. Cybern., 2024)

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. - Hong Wang 021; Qi Xie; Qian Zhao 002; Yuexiang Li; Yong Liang 001; Yefeng Zheng 001; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior. - Lixuan Yi; Qian Zhao 002; Zongben Xu (Remote. Sens., 2024)

Deep Variational Network Toward Blind Image Restoration. - Zongsheng Yue; Hongwei Yong; Qian Zhao 002; Lei Zhang 006; Deyu Meng; Kwan-Yee K. Wong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Low-Light Image Enhancement by Retinex-Based Algorithm Unrolling and Adjustment. - Xinyi Liu; Qi Xie; Qian Zhao 002; Hong Wang 021; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution. - Xinyi Liu; Feiyu Tan; Qi Xie; Qian Zhao 002; Deyu Meng (CoRR, 2025)

Singular Value Fine-tuning for Few-Shot Class-Incremental Learning. - Zhiwu Wang; Yichen Wu; Renzhen Wang; Haokun Lin; Quanziang Wang; Qian Zhao 002; Deyu Meng (CoRR, 2025)

Generative Latent Kernel Modeling for Blind Motion Deblurring. - Chenhao Ding; Jiangtao Zhang; Zongsheng Yue; Hui Wang 103; Qian Zhao 002; Deyu Meng (CoRR, 2025)