Baoshun Shi

45 papers B 1Misc 1Journal 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepGSR: Deep Group-Based Sparse Representation Network for Solving Image Inverse Problems.
IEEE Trans. Image Process.
Ke Jiang, Xinya Ji, Baoshun Shi
2026 J jnl
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR.
Medical Image Anal.
Baoshun Shi, Bing Chen, Shaolei Zhang, Huazhu Fu, Zhanli Hu
2026 J jnl
Prompting Lipschitz-Constrained Network for Multiple-in-One Sparse-View CT Reconstruction.
IEEE Trans. Medical Imaging
Baoshun Shi, Ke Jiang, Qiusheng Lian, Xinran Yu, Huazhu Fu
2026 J jnl
SED-Net: Single-input multiple-output network for simultaneous low-light image enhancement and deblurring.
Digit. Signal Process.
JiaLe Chen, Jie Lian, Qiusheng Lian, Baoshun Shi
2026 J jnl
Visual and text prompts guided interpretable network for universal low-dose CT MAR.
Pattern Recognit.
Baoshun Shi, Bing Chen, Shaolei Zhang, Ke Jiang, Shuo Liu
2025 J jnl
APG-Net: APG Optimization-Induced Multiscale Attention Network for MRI Reconstruction From Undersampled k-Space Measurements.
IEEE Trans. Instrum. Meas.
Hongping Gan, Zitong Zhao, Yunong Chen, Shanshan Shan, Baoshun Shi, Chunyi Liu
2025 J jnl
Deep sparse representation driven network for compressive imaging.
Knowl. Based Syst.
Baoshun Shi, Dan Li
2025 J jnl
OptNet: Optimization-inspired network beyond deep unfolding for structural artifact reduction.
Knowl. Based Syst.
Ke Jiang, Yingshuai Zhao, Baoshun Shi
2025 J jnl
Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR.
CoRR
Baoshun Shi, Bing Chen, Shaolei Zhang, Huazhu Fu, Zhanli Hu
2025 J jnl
Prompting Lipschitz-constrained network for multiple-in-one sparse-view CT reconstruction.
CoRR
Baoshun Shi, Ke Jiang, Qiusheng Lian, Xinran Yu, Huazhu Fu
2025 J jnl
Provably Bounded Dynamic Sparsifying Transform Network for Compressive Imaging.
IEEE Trans. Neural Networks Learn. Syst.
Baoshun Shi, Dan Li
2025 J jnl
Provably bounded prompting prior network for universal compressed sensing magnetic resonance imaging.
Knowl. Based Syst.
Baoshun Shi, Zheng Liu, Kexun Liu, Yueming Su
2025 J jnl
SAM-guided complementary prior network for compressed sensing MRI.
Digit. Signal Process.
Yueming Su, Zheng Liu, Baoshun Shi
2025 J jnl
UPrime: Unrolled Phase Retrieval Iterative Method with provable convergence.
Signal Process.
Baoshun Shi, Yating Gao, Runze Zhang
2025 J jnl
Unsupervised learning-based deep sparsifying transform network for joint CT metal artifact reduction and super-resolution reconstruction.
Digit. Signal Process.
Shengnan Yan, Yingshuai Zhao, Baoshun Shi, Yueming Su
2024 J jnl
A Two-Phase Reference-Free Approach for Low-Light Image Enhancement.
Circuits Syst. Signal Process.
JiaLe Chen, Qiusheng Lian, Baoshun Shi, Chengli Gao
2024 J jnl
Artifact Region-Aware Transformer: Global Context Helps CT Metal Artifact Reduction.
IEEE Signal Process. Lett.
Baoshun Shi, Shaolei Zhang, Fu ZhaoRan
2024 J jnl
BGFlow: Brightness-guided normalizing flow for low-light image enhancement.
Displays
JiaLe Chen, Qiusheng Lian, Baoshun Shi
2024 J jnl
Cartoon-texture guided network for low-light image enhancement.
Digit. Signal Process.
Baoshun Shi, Chunzi Zhu, Lingyan Li, Huagui Huang
2024 J jnl
Coupling Model- and Data-Driven Networks for CT Metal Artifact Reduction.
IEEE Trans. Computational Imaging
Baoshun Shi, Shaolei Zhang, Ke Jiang, Qiusheng Lian
2024 J jnl
Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography.
Mach. Learn. Sci. Technol.
Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin, Yunsong Zhao
2024 J jnl
Provable deep video denoiser using spatial-temporal information for video snapshot compressive imaging: Algorithm and convergence analysis.
Signal Process.
Baoshun Shi, Dan Li, Yuxin Wang, Yueming Su, Qiusheng Lian
2024 J jnl
Self-Supervised Normalizing Flow for Jointing Low-Light Enhancement and Deblurring.
Circuits Syst. Signal Process.
Lingyan Li, Chunzi Zhu, JiaLe Chen, Baoshun Shi, Qiusheng Lian
2024 J jnl
Transformer based Douglas-Rachford unrolling network for compressed sensing.
Signal Process. Image Commun.
Yueming Su, Qiusheng Lian, Dan Zhang, Baoshun Shi
2023 J jnl
Bayesian self-supervised learning allying with Transformer powered compressed sensing imaging.
Digit. Signal Process.
Yueming Su, Yongli Yang, Baoshun Shi, Yuwei Zhang
2023 J jnl
DeepCDL-PR: Deep unfolded convolutional dictionary learning with weighted
Digit. Signal Process.
Baoshun Shi, Yating Gao, Yueming Su, Qiusheng Lian
2023 J jnl
LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing.
Signal Process.
Qiusheng Lian, Yueming Su, Baoshun Shi, Dan Zhang
2023 J jnl
Provable General Bounded Denoisers for Snapshot Compressive Imaging With Convergence Guarantee.
IEEE Trans. Computational Imaging
Baoshun Shi, Yuxin Wang, Dan Li
2023 J jnl
Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging with Convergence Analysis.
IEEE CAA J. Autom. Sinica
Baoshun Shi, Kexun Liu
2022 Misc conf
A Trainable Bounded Denoiser Using Double Tight Frame Network for Snapshot Compressive Imaging.
ICASSP
Baoshun Shi, Yuxin Wang, Qiusheng Lian
2022 B conf
Convolutional Sparse Coding with Weighted L1 Norm for Phase Retrieval: Algorithm and Its Deep Unfolded Network.
ICIP
Baoshun Shi, Yating Gao, Ke Jiang, Qiusheng Lian
2022 J jnl
DualPRNet: Deep Shrinkage Dual Frame Network for Deep Unrolled Phase Retrieval.
IEEE Signal Process. Lett.
Baoshun Shi, Qiusheng Lian
2022 J jnl
Supervised dual tight frame learning with deep thresholding network for phase retrieval.
IET Image Process.
Baoshun Shi, Qiusheng Lian, Yueming Su
2022 J jnl
TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction.
CoRR
Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin
2020 J jnl
Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection.
Signal Process.
Qiusheng Lian, Fan Xiaoyu, Baoshun Shi, Xiaohua Zhang
2020 J jnl
Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method.
Signal Process.
Baoshun Shi, Qiusheng Lian, Huibin Chang
2019 J jnl
Multi-scale Cross-path Concatenation Residual Network for Poisson denoising.
IET Image Process.
Yueming Su, Qiusheng Lian, Xiaohua Zhang, Baoshun Shi, Fan Xiaoyu
2019 J jnl
PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems.
Signal Process.
Baoshun Shi, Qiusheng Lian, Fan Xiaoyu
2018 J jnl
Coded diffraction imaging via double sparse regularization model.
Digit. Signal Process.
Baoshun Shi, Qiusheng Lian, Shuzhen Chen, Ye Tian, Fan Xiaoyu
2018 J jnl
FASPR: A fast sparse phase retrieval algorithm via the epigraph concept.
Digit. Signal Process.
Baoshun Shi, Shuzhen Chen, Ye Tian, Fan Xiaoyu, Qiusheng Lian
2018 J jnl
SBM3D: Sparse Regularization Model Induced by BM3D for Weighted Diffraction Imaging.
IEEE Access
Baoshun Shi, Qiusheng Lian, Shuzhen Chen, Fan Xiaoyu
2017 J jnl
Compressed Sensing MRI With Phase Noise Disturbance Based on Adaptive Tight Frame and Total Variation.
IEEE Access
Fan Xiaoyu, Qiusheng Lian, Baoshun Shi
2017 J jnl
Transfer orthogonal sparsifying transform learning for phase retrieval.
Digit. Signal Process.
Qiusheng Lian, Baoshun Shi, Shuzhen Chen
2016 J jnl
Compressed sensing magnetic resonance imaging based on dictionary updating and block-matching and three-dimensional filtering regularisation.
IET Image Process.
Baoshun Shi, Qiusheng Lian, Shuzhen Chen
2015 J jnl
Sparse representation utilizing tight frame for phase retrieval.
EURASIP J. Adv. Signal Process.
Baoshun Shi, Qiusheng Lian, Shuzhen Chen