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Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

IEEE transactions on pattern analysis and machine intelligence, 2018-08, Vol.40 (8), p.1888-1902

2018

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Big Data: 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings

1st ed. 2018., 2018

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Image Inpainting by Patch Propagation Using Patch Sparsity

IEEE transactions on image processing, 2010-05, Vol.19 (5), p.1153-1165

2010

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Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network

IEEE transactions on multimedia, 2017-12, Vol.19 (12), p.2816-2831

2017

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Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient

IEEE transactions on evolutionary computation, 2021-08, Vol.25 (4), p.666-680

2021

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Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network

IEEE transactions on image processing, 2018-05, Vol.27 (5), p.2354-2367

2018

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Common-azimuth seismic data fault analysis using residual UNet

Interpretation (Tulsa), 2020-08, Vol.8 (3), p.SM25-SM37

2020

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Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing

IEEE transactions on image processing, 2019-06, Vol.28 (6), p.2991-3006

2019

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Learning a convolutional neural network for non-uniform motion blur removal

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.769-777

2015

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Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization

Geophysics, 2016-05, Vol.81 (3), p.V169-V182

2016

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Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)

IEEE transaction on neural networks and learning systems, 2015-01, Vol.26 (1), p.21-34

2015

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Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)

IEEE transaction on neural networks and learning systems, 2015-01, Vol.26 (1), p.7-20

2015

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Four major tasks of data science

Data science and management, 2021-09, Vol.3, p.1-2

Xu, Zongben

2021

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Graph PCA Hashing for Similarity Search

IEEE transactions on multimedia, 2017-09, Vol.19 (9), p.2033-2044

2017

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Global optimization with deep-learning-based acceleration surrogate for large-scale seismic acoustic-impedance inversion

Geophysics, 2022-01, Vol.87 (1), p.R35-R51

2022

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Building large-scale density model via a deep-learning-based data-driven method

Geophysics, 2021-01, Vol.86 (1), p.M1-M15

2021

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Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.174-182

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Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements

IEEE transactions on image processing, 2016-09, Vol.25 (9), p.4075-4090

2016

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Spatial and Spectral Image Fusion Using Sparse Matrix Factorization

IEEE transactions on geoscience and remote sensing, 2014-03, Vol.52 (3), p.1693-1704

2014

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L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm

IEEE transactions on signal processing, 2014-05, Vol.62 (9-12), p.2317-2329

2014

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Enhancing Low-Rank Subspace Clustering by Manifold Regularization

IEEE transactions on image processing, 2014-09, Vol.23 (9), p.4022-4030

2014

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Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions

IEEE transactions on image processing, 2016-10, Vol.25 (10), p.4677-4690

2016

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Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement

IEEE transactions on image processing, 2011-06, Vol.20 (6), p.1529-1542

2011

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Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Computer Vision - ECCV 2020, 2020, Vol.12374, p.208-224

2020

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Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm

IEEE transactions on signal processing, 2016-10, Vol.64 (19), p.5106-5118

2016

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Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

Big Data: 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings

Image Inpainting by Patch Propagation Using Patch Sparsity

Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network

Common-azimuth seismic data fault analysis using residual UNet

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing

Learning a convolutional neural network for non-uniform motion blur removal

Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)

Four major tasks of data science

Graph PCA Hashing for Similarity Search

Global optimization with deep-learning-based acceleration surrogate for large-scale seismic acoustic-impedance inversion

Building large-scale density model via a deep-learning-based data-driven method

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements

Spatial and Spectral Image Fusion Using Sparse Matrix Factorization

L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm

Enhancing Low-Rank Subspace Clustering by Manifold Regularization

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions

Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm

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