Baoshun Shi

According to our database, Baoshun Shi authored at least 31 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

UPrime: Unrolled Phase Retrieval Iterative Method with provable convergence.

Baoshun Shi, Yating Gao, Runze Zhang

Signal Process., 2025

2024

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

Lingyan Li, Chunzi Zhu, Jiale Chen, Baoshun Shi, Qiusheng Lian

Circuits Syst. Signal Process., September, 2024

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

Jiale Chen, Qiusheng Lian, Baoshun Shi, Chengli Gao

Circuits Syst. Signal Process., June, 2024

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

Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin, Yunsong Zhao

Mach. Learn. Sci. Technol., March, 2024

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

Baoshun Shi, Dan Li, Yuxin Wang, Yueming Su, Qiusheng Lian

Signal Process., January, 2024

Cartoon-texture guided network for low-light image enhancement.

Baoshun Shi, Chunzi Zhu, Lingyan Li, Huagui Huang

Digit. Signal Process., January, 2024

Coupling Model- and Data-Driven Networks for CT Metal Artifact Reduction.

Baoshun Shi, Shaolei Zhang, Ke Jiang, Qiusheng Lian

IEEE Trans. Computational Imaging, 2024

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

Baoshun Shi, Shaolei Zhang, Fu ZhaoRan

IEEE Signal Process. Lett., 2024

Transformer based Douglas-Rachford unrolling network for compressed sensing.

Yueming Su, Qiusheng Lian, Dan Zhang, Baoshun Shi

Signal Process. Image Commun., 2024

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

Jiale Chen, Qiusheng Lian, Baoshun Shi

Displays, 2024

2023

Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging with Convergence Analysis.

Baoshun Shi, Kexun Liu

IEEE CAA J. Autom. Sinica, November, 2023

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

Yueming Su, Yongli Yang, Baoshun Shi, Yuwei Zhang

Digit. Signal Process., August, 2023

DeepCDL-PR: Deep unfolded convolutional dictionary learning with weighted <i>ℓ</i>₁-norm for phase retrieval.

Baoshun Shi, Yating Gao, Yueming Su, Qiusheng Lian

Digit. Signal Process., May, 2023

Provable General Bounded Denoisers for Snapshot Compressive Imaging With Convergence Guarantee.

Baoshun Shi, Yuxin Wang, Dan Li

IEEE Trans. Computational Imaging, 2023

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

Qiusheng Lian, Yueming Su, Baoshun Shi, Dan Zhang

Signal Process., 2023

2022

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

Baoshun Shi, Qiusheng Lian

IEEE Signal Process. Lett., 2022

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

Baoshun Shi, Qiusheng Lian, Yueming Su

IET Image Process., 2022

TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction.

Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin

CoRR, 2022

Convolutional Sparse Coding with Weighted L1 Norm for Phase Retrieval: Algorithm and Its Deep Unfolded Network.

Baoshun Shi, Yating Gao, Ke Jiang, Qiusheng Lian

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Trainable Bounded Denoiser Using Double Tight Frame Network for Snapshot Compressive Imaging.

Baoshun Shi, Yuxin Wang, Qiusheng Lian

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

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

Baoshun Shi, Qiusheng Lian, Huibin Chang

Signal Process., 2020

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

Qiusheng Lian, Fan Xiaoyu, Baoshun Shi, Xiaohua Zhang

Signal Process., 2020

2019

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

Baoshun Shi, Qiusheng Lian, Fan Xiaoyu

Signal Process., 2019

Multi-scale Cross-path Concatenation Residual Network for Poisson denoising.

Yueming Su, Qiusheng Lian, Xiaohua Zhang, Baoshun Shi, Fan Xiaoyu

IET Image Process., 2019

2018

Coded diffraction imaging via double sparse regularization model.

Baoshun Shi, Qiusheng Lian, Shuzhen Chen, Ye Tian, Fan Xiaoyu

Digit. Signal Process., 2018

FASPR: A fast sparse phase retrieval algorithm via the epigraph concept.

Baoshun Shi, Shuzhen Chen, Ye Tian, Fan Xiaoyu, Qiusheng Lian

Digit. Signal Process., 2018

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

Baoshun Shi, Qiusheng Lian, Shuzhen Chen, Fan Xiaoyu

IEEE Access, 2018

2017

Transfer orthogonal sparsifying transform learning for phase retrieval.

Qiusheng Lian, Baoshun Shi, Shuzhen Chen

Digit. Signal Process., 2017

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

Fan Xiaoyu, Qiusheng Lian, Baoshun Shi

IEEE Access, 2017

2016

Compressed sensing magnetic resonance imaging based on dictionary updating and block-matching and three-dimensional filtering regularisation.

Baoshun Shi, Qiusheng Lian, Shuzhen Chen

IET Image Process., 2016

2015

Sparse representation utilizing tight frame for phase retrieval.

Baoshun Shi, Qiusheng Lian, Shuzhen Chen

EURASIP J. Adv. Signal Process., 2015