Deyu Meng

Orcid: 0000-0002-1294-8283

According to our database1, Deyu Meng authored at least 354 papers between 2005 and 2024.

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Bibliography

2024
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Geolocalization from Aerial Sensing Images Using Road Network Alignment.
Remote. Sens., February, 2024

Adaptive weighting function for weighted nuclear norm based matrix/tensor completion.
Int. J. Mach. Learn. Cybern., February, 2024

A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback.
IEEE Trans. Wirel. Commun., January, 2024

OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning.
IEEE Trans. Medical Imaging, January, 2024

Learnable Representative Coefficient Image Denoiser for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2024

A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

CRS-Diff: Controllable Generative Remote Sensing Foundation Model.
CoRR, 2024

TRG-Net: An Interpretable and Controllable Rain Generator.
CoRR, 2024

Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?
CoRR, 2024

DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion.
CoRR, 2024

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models.
CoRR, 2024

Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling.
CoRR, 2024

Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks.
CoRR, 2024

InfMAE: A Foundation Model in Infrared Modality.
CoRR, 2024

Revisiting Nonlocal Self-Similarity from Continuous Representation.
CoRR, 2024

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Tensor-Based Online RPCA Model for Compressive Background Subtraction.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Deep Fuzzy Clustering Transformer: Learning the General Property of Corruptions for Degradation-Agnostic Multitask Image Restoration.
IEEE Trans. Fuzzy Syst., December, 2023

Unpaired image super-resolution using a lightweight invertible neural network.
Pattern Recognit., December, 2023

Unsupervised Local Discrimination for Medical Images.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Body landmarks and genetic algorithm-based approach for non-contact detection of head forward posture among Chinese adolescents: revitalizing machine learning in medicine.
BMC Medical Informatics Decis. Mak., December, 2023

Robust channel estimation based on the maximum entropy principle.
Sci. China Inf. Sci., December, 2023

MESPool: Molecular Edge Shrinkage Pooling for hierarchical molecular representation learning and property prediction.
Briefings Bioinform., November, 2023

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

FDDN: frequency-guided network for single image dehazing.
Neural Comput. Appl., September, 2023

An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation.
IEEE Trans. Knowl. Data Eng., August, 2023

Stein variational gradient descent with learned direction.
Inf. Sci., August, 2023

Variational Label Enhancement.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection.
IEEE Trans. Medical Imaging, April, 2023

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images.
Medical Image Anal., April, 2023

A Probabilistic Formulation for Meta-Weight-Net.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Uncertainty-guided hierarchical frequency domain Transformer for image restoration.
Knowl. Based Syst., March, 2023

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.
IEEE Trans. Medical Imaging, 2023

Hyperspectral Image Super-Resolution via Knowledge-Driven Deep Unrolling and Transformer Embedded Convolutional Recurrent Neural Network.
IEEE Trans. Image Process., 2023

Infrared Small and Dim Target Detection With Transformer Under Complex Backgrounds.
IEEE Trans. Image Process., 2023

Deep Nonlocal Regularizer: A Self-Supervised Learning Method for 3-D Seismic Denoising.
IEEE Trans. Geosci. Remote. Sens., 2023

S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2023

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.
Medical Image Anal., 2023

Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks.
J. Mach. Learn. Res., 2023

Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations.
J. Mach. Learn. Res., 2023

Progressive convolutional transformer for image restoration.
Eng. Appl. Artif. Intell., 2023

Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration.
CoRR, 2023

Guided Image Restoration via Simultaneous Feature and Image Guided Fusion.
CoRR, 2023

Provable Tensor Completion with Graph Information.
CoRR, 2023

FRS-Nets: Fourier Parameterized Rotation and Scale Equivariant Networks for Retinal Vessel Segmentation.
CoRR, 2023

Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration.
CoRR, 2023

CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification.
CoRR, 2023

Neural Gradient Regularizer.
CoRR, 2023

Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
CoRR, 2023

A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition.
CoRR, 2023

Masked Contrastive Graph Representation Learning for Age Estimation.
CoRR, 2023

HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising.
CoRR, 2023

Hashing-Based Distributed Clustering for Massive High-Dimensional Data.
CoRR, 2023

Unsupervised Pansharpening via Low-rank Diffusion Model.
CoRR, 2023

Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go.
CoRR, 2023

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning.
CoRR, 2023

Random Weights Networks Work as Loss Prior Constraint for Image Restoration.
CoRR, 2023

Improve Noise Tolerance of Robust Loss via Noise-Awareness.
CoRR, 2023

Deep Diversity-Enhanced Feature Representation of Hyperspectral Images.
CoRR, 2023

A Hyper-weight Network for Hyperspectral Image Denoising.
CoRR, 2023

Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CBA: Improving Online Continual Learning via Continual Bias Adaptor.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Probability-based Global Cross-modal Upsampling for Pansharpening.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Interactive Segmentation as Gaussian Process Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Regularize implicit neural representation by itself.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Stein Variational Gradient Descent on Infinite-Dimensional Space and Applications to Statistical Inverse Problems.
SIAM J. Numer. Anal., August, 2022

Robust Online CSI Estimation in a Complex Environment.
IEEE Trans. Wirel. Commun., 2022

Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference.
IEEE Trans. Neural Networks Learn. Syst., 2022

Infrared Action Detection in the Dark via Cross-Stream Attention Mechanism.
IEEE Trans. Multim., 2022

Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation.
IEEE Trans. Medical Imaging, 2022

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images.
IEEE Trans. Medical Imaging, 2022

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.
IEEE Trans. Medical Imaging, 2022

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Image Denoising by Asymmetric Noise Modeling.
IEEE Trans. Geosci. Remote. Sens., 2022

Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2022

PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2022

Dual-Pyramidal Image Inpainting With Dynamic Normalization.
IEEE Trans. Circuits Syst. Video Technol., 2022

Local Patch Network With Global Attention for Infrared Small Target Detection.
IEEE Trans. Aerosp. Electron. Syst., 2022

Plenty is Plague: Fine-Grained Learning for Visual Question Answering.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Ball $k$k-Means: Fast Adaptive Clustering With No Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022

A deep variational Bayesian framework for blind image deblurring.
Knowl. Based Syst., 2022

PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation.
Inf. Sci., 2022

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.
CoRR, 2022

Learning to Adapt Classifier for Imbalanced Semi-supervised Learning.
CoRR, 2022

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusion.
CoRR, 2022

Diagnosing Batch Normalization in Class Incremental Learning.
CoRR, 2022

Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment.
CoRR, 2022

An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation.
CoRR, 2022

Survey on rain removal from videos or a single image.
Sci. China Inf. Sci., 2022

Deep Fourier Up-Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tensor Wheel Decomposition and Its Tensor Completion Application.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

T-former: An Efficient Transformer for Image Inpainting.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fast and Provable Nonconvex Tensor RPCA.
Proceedings of the International Conference on Machine Learning, 2022

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image.
IEEE Trans. Image Process., 2021

Online Rain/Snow Removal From Surveillance Videos.
IEEE Trans. Image Process., 2021

Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2021

Scaled Simplex Representation for Subspace Clustering.
IEEE Trans. Cybern., 2021

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning.
IEEE Trans. Cybern., 2021

Infrared and Visible Cross-Modal Image Retrieval Through Shared Features.
IEEE Trans. Circuits Syst. Video Technol., 2021

Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A dynamic CNN pruning method based on matrix similarity.
Signal Image Video Process., 2021

Variational Bayes' Method for Functions with Applications to Some Inverse Problems.
SIAM J. Sci. Comput., 2021

Continuous Multi-Angle Remote Sensing and Its Application in Urban Land Cover Classification.
Remote. Sens., 2021

Fast Aerial Image Geolocalization Using the Projective-Invariant Contour Feature.
Remote. Sens., 2021

Pairwise learning for medical image segmentation.
Medical Image Anal., 2021

Structural residual learning for single image rain removal.
Knowl. Based Syst., 2021

IIT-GAT: Instance-level image transformation via unsupervised generative attention networks with disentangled representations.
Knowl. Based Syst., 2021

Target attack on biomedical image segmentation model based on multi-scale gradients.
Inf. Sci., 2021

Selective generative adversarial network for raindrop removal from a single image.
Neurocomputing, 2021

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship.
CoRR, 2021

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images.
CoRR, 2021

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers.
CoRR, 2021

Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds.
CoRR, 2021

Unsupervised Local Discrimination for Medical Images.
CoRR, 2021

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining.
CoRR, 2021

Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks.
CoRR, 2021

Unsupervised Single Image Super-resolution Under Complex Noise.
CoRR, 2021

Residual Moment Loss for Medical Image Segmentation.
CoRR, 2021

EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network.
CoRR, 2021

Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems.
CoRR, 2021

Learning Contextual Transformer Network for Image Inpainting.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Neighbor Matching for Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unsupervised Learning of Local Discriminative Representation for Medical Images.
Proceedings of the Information Processing in Medical Imaging, 2021

TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Video Deraining With Dynamical Rain Generator.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

From Rain Generation to Rain Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning to Purify Noisy Labels via Meta Soft Label Corrector.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multilinear Multitask Learning by Rank-Product Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise.
IEEE Trans. Neural Networks Learn. Syst., 2020

Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction.
IEEE Trans. Medical Imaging, 2020

Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition.
IEEE Trans. Medical Imaging, 2020

Single Image Deraining Using Bilateral Recurrent Network.
IEEE Trans. Image Process., 2020

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing.
IEEE Trans. Image Process., 2020

Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2020

Hyperspectral Image Classification With Convolutional Neural Network and Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2020

Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans.
IEEE Trans. Computational Imaging, 2020

Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling.
Remote. Sens., 2020

Discovering influential factors in variational autoencoders.
Pattern Recognit., 2020

Single image rain streaks removal: a review and an exploration.
Int. J. Mach. Learn. Cybern., 2020

Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism.
Knowl. Based Syst., 2020

TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network.
Knowl. Based Syst., 2020

Self-paced Multi-view Co-training.
J. Mach. Learn. Res., 2020

TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation.
CoRR, 2020

Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction.
CoRR, 2020

Variational Image Restoration Network.
CoRR, 2020

From Rain Removal to Rain Generation.
CoRR, 2020

Meta Feature Modulator for Long-tailed Recognition.
CoRR, 2020

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize.
CoRR, 2020

Meta Transition Adaptation for Robust Deep Learning with Noisy Labels.
CoRR, 2020

Structural Residual Learning for Single Image Rain Removal.
CoRR, 2020

Ball k-means.
CoRR, 2020

Learning Adaptive Loss for Robust Learning with Noisy Labels.
CoRR, 2020

Analyzing the Characteristics and Causes of Location Spatial Agglomeration of Listed Companies: An Empirical Study of China's Yangtze River Economic Belt.
Complex., 2020

Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising.
Sci. China Inf. Sci., 2020

LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

MEP-Based Channel Estimation under Complex Communication Environment.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Momentum Batch Normalization for Deep Learning with Small Batch Size.
Proceedings of the Computer Vision - ECCV 2020, 2020

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Model-Driven Deep Neural Network for Single Image Rain Removal.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Weakly Supervised Lesion Detection From Fundus Images.
IEEE Trans. Medical Imaging, 2019

An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization.
IEEE Trans. Medical Imaging, 2019

Discriminative Feature Learning With Foreground Attention for Person Re-Identification.
IEEE Trans. Image Process., 2019

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing.
IEEE Trans. Image Process., 2019

Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning.
IEEE Trans. Evol. Comput., 2019

Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field.
Remote. Sens., 2019

Few-Example Object Detection with Model Communication.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework.
Int. J. Comput. Vis., 2019

A Survey on Rain Removal from Video and Single Image.
CoRR, 2019

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding.
CoRR, 2019

Variational Bayes' method for functions with applications to some inverse problems.
CoRR, 2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.
CoRR, 2019

A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction.
IEEE Access, 2019

Variational Denoising Network: Toward Blind Noise Modeling and Removal.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Robust CSI Estimation Under Complex Communication Environment.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semi-Supervised Transfer Learning for Image Rain Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Progressive Image Deraining Networks: A Better and Simpler Baseline.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


2018
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians.
IEEE Trans. Neural Networks Learn. Syst., 2018

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network.
IEEE Trans. Image Process., 2018

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure.
IEEE Trans. Cybern., 2018

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Hyperspectral Image Restoration under Complex Multi-Band Noises.
Remote. Sens., 2018

Deep self-paced learning for person re-identification.
Pattern Recognit., 2018

Infrared small-dim target detection based on Markov random field guided noise modeling.
Pattern Recognit., 2018

Robust Online Matrix Factorization for Dynamic Background Subtraction.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

On Convergence Properties of Implicit Self-paced Objective.
Inf. Sci., 2018

Robust subspace clustering via penalized mixture of Gaussians.
Neurocomputing, 2018

Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians.
CoRR, 2018

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing.
CoRR, 2018

Discovering Influential Factors in Variational Autoencoder.
CoRR, 2018

Small Sample Learning in Big Data Era.
CoRR, 2018

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement.
CoRR, 2018

Semi-supervised CNN for Single Image Rain Removal.
CoRR, 2018

Simplex Representation for Subspace Clustering.
CoRR, 2018

Understanding Self-Paced Learning under Concave Conjugacy Theory.
CoRR, 2018

Understanding self-paced learning under Concave Conjugacy Theory.
Commun. Inf. Syst., 2018

PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-Modalities.
Proceedings of the Computer Vision - ECCV 2018, 2018

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization.
IEEE Trans. Medical Imaging, 2017

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.
IEEE Trans. Medical Imaging, 2017

Distance Metric Learning via Iterated Support Vector Machines.
IEEE Trans. Image Process., 2017

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising.
IEEE Trans. Image Process., 2017

Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach.
IEEE Trans. Image Process., 2017

Instance Annotation via Optimal BoW for Weakly Supervised Object Localization.
IEEE Trans. Cybern., 2017

A novel learning-based frame pooling method for event detection.
Signal Process., 2017

Learning-Based Sub-Pixel Change Detection Using Coarse Resolution Satellite Imagery.
Remote. Sens., 2017

Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization.
IEEE Geosci. Remote. Sens. Lett., 2017

Semi-supervised learning through adaptive Laplacian graph trimming.
Image Vis. Comput., 2017

A theoretical understanding of self-paced learning.
Inf. Sci., 2017

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.
Neurocomputing, 2017

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision.
Int. J. Comput. Vis., 2017

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning.
CoRR, 2017

On Convergence Property of Implicit Self-paced Objective.
CoRR, 2017

Few-shot Object Detection.
CoRR, 2017

A General Model for Robust Tensor Factorization with Unknown Noise.
CoRR, 2017

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network.
CoRR, 2017

A Dual-Network Progressive Approach to Weakly Supervised Object Detection.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

A co-training approach to the classification of local climate zones with multi-source data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Self-Paced Co-training.
Proceedings of the 34th International Conference on Machine Learning, 2017

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
Proceedings of the IEEE International Conference on Computer Vision, 2017

Tensor RPCA by Bayesian CP Factorization with Complex Noise.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Detail-Preserving and Content-Aware Variational Multi-View Stereo Reconstruction.
IEEE Trans. Image Process., 2016

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions.
IEEE Trans. Image Process., 2016

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Process., 2016

Robust Semi-Supervised Classification for Noisy Labels Based on Self-Paced Learning.
IEEE Signal Process. Lett., 2016

Multi-view stereo via depth map fusion: A coordinate decent optimization method.
Neurocomputing, 2016

Special issue on Chinese Conference on Computer Vision 2015.
Neurocomputing, 2016

InfAR dataset: Infrared action recognition at different times.
Neurocomputing, 2016

Text-to-video: a semantic search engine for internet videos.
Int. J. Multim. Inf. Retr., 2016

Strategies for Searching Video Content with Text Queries or Video Examples.
CoRR, 2016

A Learning-based Frame Pooling Model For Event Detection.
CoRR, 2016

Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning.
CoRR, 2016

Low-rank Matrix Factorization under General Mixture Noise Distributions.
CoRR, 2016

Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Self-Paced Boost Learning for Classification.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Detect Concepts from Webly-Labeled Video Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

The Solution Path Algorithm for Identity-Aware Multi-object Tracking.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Robust Tensor Factorization with Unknown Noise.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Two-Stream Contextualized CNN for Fine-Grained Image Classification.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multi-Objective Self-Paced Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
L<sub>1</sub>-Norm Low-Rank Matrix Factorization by Variational Bayesian Method.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Kernel Classification Framework for Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015

Event Oriented Dictionary Learning for Complex Event Detection.
IEEE Trans. Image Process., 2015

FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test.
Neural Comput., 2015

Spatial and Temporal Image Fusion via Regularized Spatial Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2015

Multiview stereo and silhouette fusion via minimizing generalized reprojection error.
Image Vis. Comput., 2015

A block coordinate descent approach for sparse principal component analysis.
Neurocomputing, 2015

Enhancing performance of the backpropagation algorithm via sparse response regularization.
Neurocomputing, 2015

Density-based region search with arbitrary shape for object localisation.
IET Comput. Vis., 2015

Iterated Support Vector Machines for Distance Metric Learning.
CoRR, 2015

What Objective Does Self-paced Learning Indeed Optimize?
CoRR, 2015

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015

Robust low-rank tensor factorization by cyclic weighted median.
Sci. China Inf. Sci., 2015


Fast and Accurate Content-based Semantic Search in 100M Internet Videos.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Bridging the Ultimate Semantic Gap: A Semantic Search Engine for Internet Videos.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

A Novel Sparsity Measure for Tensor Recovery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Convolutional Sparse Coding for Image Super-Resolution.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Low-Rank Matrix Factorization under General Mixture Noise Distributions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A New Dataset and Evaluation for Infrared Action Recognition.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

Self-Paced Learning for Matrix Factorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Complex Event Detection via Event Oriented Dictionary Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Self-Paced Curriculum Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A kernel-based sparsity preserving method for semi-supervised classification.
Neurocomputing, 2014

Robust registration of partially overlapping point sets via genetic algorithm with growth operator.
IET Image Process., 2014

On the Optimal Solution of Weighted Nuclear Norm Minimization.
CoRR, 2014

Density-Based Region Search with Arbitrary Shape for Object Localization.
CoRR, 2014

Robust sparse principal component analysis.
Sci. China Inf. Sci., 2014


Self-Paced Learning with Diversity.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Towards Efficient Learning of Optimal Spatial Bag-of-Words Representations.
Proceedings of the International Conference on Multimedia Retrieval, 2014

Interactive Surveillance Event Detection through Mid-level Discriminative Representation.
Proceedings of the International Conference on Multimedia Retrieval, 2014

Robust Principal Component Analysis with Complex Noise.
Proceedings of the 31th International Conference on Machine Learning, 2014

Unsupervised Video Adaptation for Parsing Human Motion.
Proceedings of the Computer Vision - ECCV 2014, 2014

Transitive Distance Clustering with K-Means Duality.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Detecting Intrinsic Loops Underlying Data Manifold.
IEEE Trans. Knowl. Data Eng., 2013

Infrared Patch-Image Model for Small Target Detection in a Single Image.
IEEE Trans. Image Process., 2013

Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds.
Pattern Recognit., 2013

The strong convergence of visual classification method and its applications.
Inf. Sci., 2013

Learning dictionary from signals under global sparsity constraint.
Neurocomputing, 2013

Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm.
Data Knowl. Eng., 2013


Joint recognition / segmentation with cascaded multi-level feature classification and confidence propagation.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Robust Matrix Factorization with Unknown Noise.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Improve robustness of sparse PCA by L<sub>1</sub>-norm maximization.
Pattern Recognit., 2012

Dictionary learning under global sparsity constraint
CoRR, 2012

Divide-and-Conquer Method for L1 Norm Matrix Factorization in the Presence of Outliers and Missing Data
CoRR, 2012

A recursive divide-and-conquer approach for sparse principal component analysis.
CoRR, 2012

2011
Incremental Alignment Manifold Learning.
J. Comput. Sci. Technol., 2011

A new quality assessment criterion for nonlinear dimensionality reduction.
Neurocomputing, 2011

2009
Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine.
IEEE Trans. Syst. Man Cybern. Part B, 2009

2008
Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Improving geodesic distance estimation based on locally linear assumption.
Pattern Recognit. Lett., 2008

2006
Approximation Bound of Mixture Networks in <i>L</i><sub><i>omega</i></sub><sup><i>p</i></sup> Spaces.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A New Pre-processing Method for Regression.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
A New Approach for Classification: Visual Simulation Point of View.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A New Approach for Regression: Visual Regression Approach.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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