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DualPRNet: Deep Shrinkage Dual Frame Network for Deep Unrolled Phase Retrieval

IEEE signal processing letters, 2022, Vol.29, p.1177-1181

2022

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Artifact Region-Aware Transformer: Global Context Helps CT Metal Artifact Reduction

IEEE signal processing letters, 2024, Vol.31, p.1249-1253

2024

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Regularization by multiple dual frames for compressed sensing magnetic resonance imaging with convergence analysis

IEEE/CAA journal of automatica sinica, 2023-11, Vol.10 (11), p.1-18

2023

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Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection

Signal processing, 2020-05, Vol.170, p.107444, Article 107444

2020

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Supervised dual tight frame learning with deep thresholding network for phase retrieval

IET image processing, 2022-08, Vol.16 (10), p.2752-2758

2022

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Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography

Machine learning: science and technology, 2024-03, Vol.5 (1), p.15010

2024

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Compressed Sensing MRI With Phase Noise Disturbance Based on Adaptive Tight Frame and Total Variation

IEEE access, 2017-01, Vol.5, p.19311-19321

2017

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SBM3D: Sparse Regularization Model Induced by BM3D for Weighted Diffraction Imaging

IEEE access, 2018-01, Vol.6, p.46266-46280

2018

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UPrime: Unrolled Phase Retrieval Iterative Method with provable convergence

Signal processing, 2025-01, Vol.226, p.109640, Article 109640

2025

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CTDNet: cartoon-texture decomposition-based gray image super-resolution network with multiple degradations

Journal of the Optical Society of America. B, Optical physics, 2023-12, Vol.40 (12), p.3284

2023

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Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method

Signal processing, 2020-03, Vol.168, p.107350, Article 107350

2020

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BGFlow: Brightness-guided normalizing flow for low-light image enhancement

Displays, 2024-12, Vol.85, p.102863, Article 102863

2024

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PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems

Signal processing, 2019-09, Vol.162, p.83-96

2019

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Provable deep video denoiser using spatial–temporal information for video snapshot compressive imaging: Algorithm and convergence analysis

Signal processing, 2024-01, Vol.214, p.109236, Article 109236

2024

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Compressed sensing MRI based on image decomposition model and group sparsity

Magnetic resonance imaging, 2019-07, Vol.60, p.101-109

2019

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LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing

Signal processing, 2023-01, Vol.202, p.108737, Article 108737

2023

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Transformer based Douglas-Rachford unrolling network for compressed sensing

Signal processing. Image communication, 2024-09, Vol.127, p.117153, Article 117153

2024

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Constrained phase retrieval: when alternating projection meets regularization

Journal of the Optical Society of America. B, Optical physics, 2018-06, Vol.35 (6), p.1271

2018

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Provable General Bounded Denoisers for Snapshot Compressive Imaging with Convergence Guarantee

IEEE transactions on computational imaging, 2023-01, Vol.9, p.1-15

2023

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Cartoon-Texture Guided Network for Low-Light Image Enhancement

Digital signal processing, 2024-01, Vol.144, p.104271, Article 104271

2024

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Bayesian self-supervised learning allying with Transformer powered compressed sensing imaging

Digital signal processing, 2023-08, Vol.140, p.104120, Article 104120

2023

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Self-Supervised Normalizing Flow for Jointing Low-Light Enhancement and Deblurring

Circuits, systems, and signal processing, 2024-09, Vol.43 (9), p.5727-5748

2024

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A Two-Phase Reference-Free Approach for Low-Light Image Enhancement

Circuits, systems, and signal processing, 2024-06, Vol.43 (6), p.3553-3575

2024

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Gain-phase errors calibration of nested array for underdetermined direction of arrival estimation

International journal of electronics and communications, 2019-08, Vol.108, p.87-90

2019

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Transfer orthogonal sparsifying transform learning for phase retrieval

Digital signal processing, 2017-03, Vol.62, p.11-25

2017

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DualPRNet: Deep Shrinkage Dual Frame Network for Deep Unrolled Phase Retrieval

Artifact Region-Aware Transformer: Global Context Helps CT Metal Artifact Reduction

Regularization by multiple dual frames for compressed sensing magnetic resonance imaging with convergence analysis

Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection

Supervised dual tight frame learning with deep thresholding network for phase retrieval

Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography

Compressed Sensing MRI With Phase Noise Disturbance Based on Adaptive Tight Frame and Total Variation

SBM3D: Sparse Regularization Model Induced by BM3D for Weighted Diffraction Imaging

UPrime: Unrolled Phase Retrieval Iterative Method with provable convergence

CTDNet: cartoon-texture decomposition-based gray image super-resolution network with multiple degradations

Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method

BGFlow: Brightness-guided normalizing flow for low-light image enhancement

PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems

Provable deep video denoiser using spatial–temporal information for video snapshot compressive imaging: Algorithm and convergence analysis

Compressed sensing MRI based on image decomposition model and group sparsity

LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing

Transformer based Douglas-Rachford unrolling network for compressed sensing

Constrained phase retrieval: when alternating projection meets regularization

Provable General Bounded Denoisers for Snapshot Compressive Imaging with Convergence Guarantee

Cartoon-Texture Guided Network for Low-Light Image Enhancement

Bayesian self-supervised learning allying with Transformer powered compressed sensing imaging

Self-Supervised Normalizing Flow for Jointing Low-Light Enhancement and Deblurring

A Two-Phase Reference-Free Approach for Low-Light Image Enhancement

Gain-phase errors calibration of nested array for underdetermined direction of arrival estimation

Transfer orthogonal sparsifying transform learning for phase retrieval

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