De-yu Meng

Q: What Schools Are Affiliated With De-yu Meng

De-yu Meng is affiliated with the following schools: Xi'an Jiaotong University, Macau University of Science and Technology

De-yu Meng's AcademicInfluence.com Rankings

De-yu Meng

Engineering

#4577

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#5778

Historical Rank

Electrical Engineering

#1169

World Rank

#1256

Historical Rank

engineering Degrees

De-yu Meng

Computer Science

#5838

World Rank

#6161

Historical Rank

Algorithms

#206

World Rank

#209

Historical Rank

Machine Learning

#1698

World Rank

#1720

Historical Rank

Database

#2960

World Rank

#3087

Historical Rank

computer-science Degrees

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Engineering
Computer Science

De-yu Meng's Degrees

PhD Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University
Bachelors Electrical Engineering Tsinghua University

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De-yu Meng's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (2016) (4804)
Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision (2016) (545)
Infrared Patch-Image Model for Small Target Detection in a Single Image (2013) (475)
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (2019) (463)
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework (2017) (441)
Progressive Image Deraining Networks: A Better and Simpler Baseline (2019) (411)
Self-Paced Curriculum Learning (2015) (402)
Self-Paced Learning with Diversity (2014) (310)
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation (2017) (306)
Convolutional Sparse Coding for Image Super-Resolution (2015) (302)
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising (2014) (274)
Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search (2014) (272)
A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding (2013) (271)
Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition (2017) (227)
Semi-Supervised Transfer Learning for Image Rain Removal (2018) (213)
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach (2017) (212)
Robust Principal Component Analysis with Complex Noise (2014) (206)
Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network (2017) (203)
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization (2016) (194)
Robust Matrix Factorization with Unknown Noise (2013) (193)
Variational Denoising Network: Toward Blind Noise Modeling and Removal (2019) (178)
Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery (2018) (173)
A Model-Driven Deep Neural Network for Single Image Rain Removal (2020) (153)
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation (2017) (148)
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net (2019) (142)
Improve robustness of sparse PCA by L1-norm maximization (2012) (136)
Robust Online Matrix Factorization for Dynamic Background Subtraction (2017) (135)
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements (2015) (134)
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification (2017) (131)
Few-Example Object Detection with Model Communication (2019) (130)
Self-Paced Learning for Matrix Factorization (2015) (129)
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding (2018) (129)
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning (2020) (124)
Denoising Hyperspectral Image With Non-i.i.d. Noise Structure (2017) (121)
Infrared small-dim target detection based on Markov random field guided noise modeling (2018) (120)
Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework (2018) (118)
Event Oriented Dictionary Learning for Complex Event Detection (2015) (115)
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection (2015) (114)
Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model (2017) (107)
Should We Encode Rain Streaks in Video as Deterministic or Stochastic? (2017) (104)
Self-Paced Co-training (2017) (103)
A Kernel Classification Framework for Metric Learning (2013) (99)
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (2020) (92)
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond (2021) (90)
$L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method (2015) (89)
Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing (2019) (87)
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification (2017) (86)
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning (2016) (78)
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions (2016) (76)
A theoretical understanding of self-paced learning (2017) (76)
Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine (2009) (75)
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results (2019) (75)
What Objective Does Self-paced Learning Indeed Optimize? (2015) (75)
Fast and Accurate Content-based Semantic Search in 100M Internet Videos (2015) (74)
Low-Rank Matrix Factorization under General Mixture Noise Distributions (2015) (72)
A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries (2013) (72)
Self-Paced Boost Learning for Classification (2016) (63)
Bridging the Ultimate Semantic Gap: A Semantic Search Engine for Internet Videos (2015) (61)
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation (2021) (60)
Deep self-paced learning for person re-identification (2017) (59)
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion (2020) (59)
Small Sample Learning in Big Data Era (2018) (58)
Learning to Detect Concepts from Webly-Labeled Video Data (2016) (56)
Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization (2017) (55)
InfAR dataset: Infrared action recognition at different times (2016) (53)
Discriminative Feature Learning With Foreground Attention for Person Re-Identification (2018) (51)
FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test (2014) (51)
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network (2021) (49)
Survey on rain removal from videos or a single image (2019) (48)
A Novel Sparsity Measure for Tensor Recovery (2015) (47)
Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing (2020) (47)
TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network (2020) (45)
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising (2021) (44)
Single Image Deraining Using Bilateral Recurrent Network (2020) (43)
Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation (2020) (43)
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos (2017) (40)
The Solution Path Algorithm for Identity-Aware Multi-object Tracking (2016) (40)
EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network (2021) (39)
Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism (2017) (39)
Spatial and Temporal Image Fusion via Regularized Spatial Unmixing (2015) (38)
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning (2019) (37)
Detail-Preserving and Content-Aware Variational Multi-View Stereo Reconstruction (2015) (36)
Few-shot Object Detection (2017) (36)
Sparse recovery: from vectors to tensors (2018) (35)
A Dual-Network Progressive Approach to Weakly Supervised Object Detection (2017) (35)
Robust registration of partially overlapping point sets via genetic algorithm with growth operator (2014) (34)
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians (2018) (33)
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution (2020) (32)
Informedia@TrecVID 2014: MED and MER (2014) (32)
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation (2020) (31)
Scaled Simplex Representation for Subspace Clustering (2018) (30)
From Rain Generation to Rain Removal (2020) (29)
Self-paced Multi-view Co-training (2020) (29)
Distance Metric Learning via Iterated Support Vector Machines (2017) (29)
Robust Tensor Factorization with Unknown Noise (2016) (28)
Multi-Objective Self-Paced Learning (2016) (28)
Weakly Supervised Lesion Detection From Fundus Images (2019) (26)
Semi-Supervised Video Deraining with Dynamical Rain Generator (2021) (25)
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization (2017) (24)
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial–Temporal Total Variation Regularization (2019) (24)
Iterative quality enhancement via residual-artifact learning networks for low-dose CT (2018) (24)
Complex Event Detection via Event Oriented Dictionary Learning (2015) (23)
Learning to Purify Noisy Labels via Meta Soft Label Corrector (2020) (22)
A new quality assessment criterion for nonlinear dimensionality reduction (2011) (22)
Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing (2021) (21)
Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold (2008) (21)
Unsupervised Video Adaptation for Parsing Human Motion (2014) (20)
Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field (2019) (20)
Learning Adaptive Loss for Robust Learning with Noisy Labels (2020) (19)
On Convergence Property of Implicit Self-paced Objective (2017) (19)
Momentum Batch Normalization for Deep Learning with Small Batch Size (2020) (19)
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels (2020) (19)
Improving geodesic distance estimation based on locally linear assumption (2008) (18)
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities (2018) (18)
Robust subspace clustering via penalized mixture of Gaussians (2018) (18)
Enhancing performance of the backpropagation algorithm via sparse response regularization (2015) (17)
Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening (2020) (17)
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning (2017) (17)
A kernel-based sparsity preserving method for semi-supervised classification (2014) (16)
Single image rain streaks removal: a review and an exploration (2020) (16)
Tensor RPCA by Bayesian CP Factorization with Complex Noise (2017) (16)
Interactive Surveillance Event Detection through Mid-level Discriminative Representation (2014) (16)
Towards Efficient Learning of Optimal Spatial Bag-of-Words Representations (2014) (16)
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing (2020) (16)
Online Rain/Snow Removal From Surveillance Videos (2021) (15)
Structural Residual Learning for Single Image Rain Removal (2020) (15)
Robust low-rank tensor factorization by cyclic weighted median (2015) (15)
Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements (2021) (15)
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation (2020) (14)
Instance Annotation via Optimal BoW for Weakly Supervised Object Localization (2017) (13)
Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise (2020) (13)
Two-Stream Contextualized CNN for Fine-Grained Image Classification (2016) (13)
A co-training approach to the classification of local climate zones with multi-source data (2017) (13)
Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds (2021) (13)
Target attack on biomedical image segmentation model based on multi-scale gradients (2021) (12)
On the Optimal Solution of Weighted Nuclear Norm Minimization (2014) (12)
Why curriculum learning & self-paced learning work in big/noisy data: A theoretical perspective (2015) (12)
Transitive Distance Clustering with K-Means Duality (2014) (12)
Semi-supervised learned sinogram restoration network for low-dose CT image reconstruction (2020) (11)
Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition (2020) (11)
Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling (2020) (11)
Pairwise learning for medical image segmentation (2020) (11)
Hyperspectral Image Restoration under Complex Multi-Band Noises (2018) (11)
Robust sparse principal component analysis (2014) (11)
Incremental Alignment Manifold Learning (2011) (11)
Learning-Based Sub-Pixel Change Detection Using Coarse Resolution Satellite Imagery (2017) (10)
Robust Semi-Supervised Classification for Noisy Labels Based on Self-Paced Learning (2016) (10)
A dynamic CNN pruning method based on matrix similarity (2020) (10)
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing (2018) (10)
Some New Trends of Deep Learning Research (2019) (10)
Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data (2017) (10)
A novel learning-based frame pooling method for event detection (2016) (10)
A block coordinate descent approach for sparse principal component analysis (2015) (9)
Local Patch Network With Global Attention for Infrared Small Target Detection (2021) (9)
Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image (2021) (9)
A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition (2014) (9)
Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism (2020) (8)
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining (2021) (8)
Variational Bayes' method for functions with applications to some inverse problems (2019) (8)
Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification (2022) (8)
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (2021) (8)
Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise (2021) (8)
Effective Snapshot Compressive-spectral Imaging via Deep Denoising and Total Variation Priors (2021) (8)
Learning dictionary from signals under global sparsity constraint (2013) (8)
Multi-view stereo via depth map fusion: A coordinate decent optimization method (2016) (8)
Semi-supervised learning through adaptive Laplacian graph trimming (2017) (8)
Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds (2013) (7)
Understanding Self-Paced Learning under Concave Conjugacy Theory (2018) (7)
Meta Feature Modulator for Long-tailed Recognition (2020) (7)
Selective generative adversarial network for raindrop removal from a single image (2020) (7)
A New Approach for Classification: Visual Simulation Point of View (2005) (7)
Infrared and Visible Cross-Modal Image Retrieval Through Shared Features (2021) (7)
A New Dataset and Evaluation for Infrared Action Recognition (2015) (7)
Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network (2019) (7)
Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction (2020) (7)
Infrared Action Detection in the Dark via Cross-Stream Attention Mechanism (2021) (7)
Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement (2018) (7)
Supplementary Materials : Self-Paced Learning with Diversity (2014) (6)
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference (2021) (6)
Variational Image Restoration Network (2020) (6)
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems (2021) (6)
Discovering influential factors in variational autoencoders (2020) (6)
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding (2019) (6)
Meta self-paced learning (2020) (6)
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices (2022) (6)
Detecting Intrinsic Loops Underlying Data Manifold (2013) (6)
A General Model for Robust Tensor Factorization with Unknown Noise (2017) (6)
Fast and Accurate Content-based Semantic Search in 100 M Internet Videos (2015) (6)
Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize (2020) (6)
Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks (2021) (5)
A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction (2019) (5)
Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning (2016) (5)
Robust CSI Estimation Under Complex Communication Environment (2019) (5)
Semi-supervised CNN for Single Image Rain Removal (2018) (5)
From Rain Removal to Rain Generation (2020) (5)
Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images (2020) (5)
Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising (2020) (5)
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements (2015) (5)
CMU-informedia @ TRECViD 2014 semantic indexing (2014) (5)
A recursive divide-and-conquer approach for sparse principal component analysis (2012) (4)
Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation (2021) (4)
CPCT-LRTDTV: cerebral perfusion CT image restoration via a low rank tensor decomposition with total variation regularization (2018) (4)
Plenty is Plague: Fine-Grained Learning for Visual Question Answering (2019) (4)
Iterated Support Vector Machines for Distance Metric Learning (2015) (4)
Unsupervised Learning of Local Discriminative Representation for Medical Images (2020) (4)
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment (2022) (4)
Dual-Pyramidal Image Inpainting With Dynamic Normalization (2022) (4)
Semantic Indexing (2014) (4)
Continuous Multi-Angle Remote Sensing and Its Application in Urban Land Cover Classification (2021) (3)
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning (2022) (3)
Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling (2021) (3)
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution (2022) (3)
IIT-GAT: Instance-level image transformation via unsupervised generative attention networks with disentangled representations (2021) (3)
Strategies for Searching Video Content with Text Queries or Video Examples (2016) (3)
Multimedia Event Detection and Recounting (2013) (3)
Fast Aerial Image Geolocalization Using the Projective-Invariant Contour Feature (2021) (3)
Multiview stereo and silhouette fusion via minimizing generalized reprojection error (2015) (3)
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks (2020) (3)
Text-to-video: a semantic search engine for internet videos (2016) (3)
Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm (2013) (3)
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation (2022) (3)
Multilinear Multitask Learning by Rank-Product Regularization (2020) (3)
Evaluation of a Spatial Relationship by the Concept of Intrinsic Spatial Distance (2013) (3)
A More Efficient Preprocessing Method for Support Vector Classification (2005) (3)
A Probabilistic Formulation for Meta-Weight-Net (2021) (3)
Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans (2020) (3)
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging (2022) (3)
Divide-and-Conquer Method for L1 Norm Matrix Factorization in the Presence of Outliers and Missing Data (2012) (2)
LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images (2021) (2)
Semi-supervised noise distribution learning for low-dose CT restoration (2020) (2)
Contrast-medium anisotropy-aware tensor total variation model for robust cerebral perfusion CT reconstruction with weak radiation: a preliminary study (2019) (2)
Diagnosing Batch Normalization in Class Incremental Learning (2022) (2)
[Invited Paper] Strategies for Searching Video Content with Text Queries or Video Examples: Features, Semantic Detectors, Fusion, Efficient Search and Reranking (2016) (2)
A Tensor-Based Online RPCA Model for Compressive Background Subtraction. (2022) (2)
A Deep Variational Bayesian Framework for Blind Image Deblurring (2021) (2)
Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification (2021) (2)
A Learning-based Frame Pooling Model For Event Detection (2016) (2)
Estimating geodesic distances on locally linear patches (2007) (2)
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels (2019) (2)
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective (2021) (2)
Density-based region search with arbitrary shape for object localisation (2014) (2)
Fast and Provable Nonconvex Tensor RPCA (2022) (1)
Informedia at TRECVID2014: MED and MER, Semantic Indexing, Surveillance Event Detection (2014) (1)
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions (2021) (1)
Infrared Small Target Detection Using Multi-patch Attention Network (2021) (1)
Unsupervised Single Image Super-resolution Under Complex Noise (2021) (1)
Special issue on Chinese Conference on Computer Vision 2015 (2016) (1)
MEP-Based Channel Estimation under Complex Communication Environment (2020) (1)
Informedia @ TRECVID 2014 (2014) (1)
Joint recognition / segmentation with cascaded multi-level feature classification and confidence propagation (2013) (1)
A New Approach for Regression: Visual Regression Approach (2005) (1)
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction (2020) (1)
Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images (2022) (1)
Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusion (2022) (1)
T-former: An Efficient Transformer for Image Inpainting (2022) (1)
Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians (2018) (1)
A New Pre-processing Method for Regression (2006) (1)
Simplex Representation for Subspace Clustering (2018) (1)
The strong convergence of visual classification method and its applications (2013) (1)
Supplementary Material of ”Dual Adversarial Network: Toward Real Noise Removal and Noise Generation” (2020) (1)
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations (2022) (1)
A new nonlocal low-rank regularization method with applications to magnetic resonance image denoising (2022) (1)
SUPPLEMENTARY MATERIAL OF “VARIATIONAL BAYES’ METHOD FOR FUNCTIONS WITH APPLICATIONS TO INVERSE PROBLEMS” (2020) (0)
Dictionary learning under global sparsity constraint (2012) (0)
CMW-Net: an adaptive robust algorithms for sample selection and label correction (2023) (0)
“ Self-Paced Learning for Matrix Factorization ” : Supplementary Material (2014) (0)
Supplementary Material for LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation (2020) (0)
Supplementary Materials Robust Low-dose CT Sinogram Prepocessing via Exploiting Noise-generating Mechanism (2017) (0)
Random Weights Networks Work as Loss Prior Constraint for Image Restoration (2023) (0)
Uncertainty-guided hierarchical frequency domain Transformer for image restoration (2023) (0)
Stein variational gradient descent with learned direction (2023) (0)
Robust Multi-view Subspace Learning with Non-identical and Non-independent Distributed Complex Noises (2019) (0)
A Hyper-weight Network for Hyperspectral Image Denoising (2022) (0)
Regularize implicit neural representation by itself (2023) (0)
Infrared Small Target Detection Using Focally Multi-Patch Network (2021) (0)
The strong convergence of visual classification met hod and its applications in disease diagnosis (2008) (0)
Preliminary theoretical troubleshooting in Variational Autoencoder (2018) (0)
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness (2023) (0)
Robust low-rank tensor factorization by cyclic weighted median (2014) (0)
Supplementary Material to “ Convolutional Sparse Coding for Image Super-resolution ” (2015) (0)
Supplementary Material of “Robust Multi-view Subspace Learning with Non-identically and Non-independently Distributed Complex Noises” (2019) (0)
Robust Online CSI Estimation in a Complex Environment (2022) (0)
Supplementary Material of “ A Novel Sparsity Measure for Tensor Recovery ” (2015) (0)
Deep Variational Network Toward Blind Image Restoration (2020) (0)
S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning (2022) (0)
Approximation Bound of Mixture Networks in Lomegap Spaces (2006) (0)
A Novel Tensor RPCA approach for Background Subtraction from Compressive Measurements (2015) (0)
Noise suppression for cerebral perfusion CT via intrinsic tensor sparsity regularization: Initial study (2016) (0)
Single image rain streaks removal: a review and an exploration (2020) (0)
Discovering Influential Factors in Variational Autoencoder (2018) (0)
A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback (2022) (0)
Robust sparse principal component analysis (2014) (0)
Approximation Bound of Mixture Networks in Lpw Spaces (2006) (0)
Improve Noise Tolerance of Robust Loss via Noise-Awareness (2023) (0)
Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization. (2022) (0)
Ministry of Education Key Lab of Intelligent Networks and Network Security , Xi ’ an Jiaotong University (0)
Photon Counting Computed Tomography Image Restoration via Mixture Gaussian Noise Model: Initial Study (2018) (0)

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Published Works

What Schools Are Affiliated With De-yu Meng?

De-yu Meng's AcademicInfluence.com Rankings