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Yueming Su
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Journal Articles
- 2024
- [j10]Baoshun Shi, Dan Li, Yuxin Wang, Yueming Su, Qiusheng Lian:
Provable deep video denoiser using spatial-temporal information for video snapshot compressive imaging: Algorithm and convergence analysis. Signal Process. 214: 109236 (2024) - [j9]Yueming Su, Qiusheng Lian, Dan Zhang, Baoshun Shi:
Transformer based Douglas-Rachford unrolling network for compressed sensing. Signal Process. Image Commun. 127: 117153 (2024) - 2023
- [j8]Baoshun Shi, Yating Gao, Yueming Su, Qiusheng Lian:
DeepCDL-PR: Deep unfolded convolutional dictionary learning with weighted ℓ1-norm for phase retrieval. Digit. Signal Process. 136: 103971 (2023) - [j7]Yueming Su, Yongli Yang, Baoshun Shi, Yuwei Zhang:
Bayesian self-supervised learning allying with Transformer powered compressed sensing imaging. Digit. Signal Process. 140: 104120 (2023) - [j6]Dan Zhang, Qiusheng Lian, Yueming Su, Tengfei Ren:
Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium. IEEE CAA J. Autom. Sinica 10(6): 1407-1420 (2023) - [j5]Qiusheng Lian, Yueming Su, Baoshun Shi, Dan Zhang:
LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing. Signal Process. 202: 108737 (2023) - 2022
- [j4]Baoshun Shi, Qiusheng Lian, Yueming Su:
Supervised dual tight frame learning with deep thresholding network for phase retrieval. IET Image Process. 16(10): 2752-2758 (2022) - 2020
- [j3]Xiaohua Zhang, Qiusheng Lian, Yuchi Yang, Yueming Su:
A deep unrolling network inspired by total variation for compressed sensing MRI. Digit. Signal Process. 107: 102856 (2020) - [j2]Yueming Su, Qiusheng Lian:
iPiano-Net: Nonconvex optimization inspired multi-scale reconstruction network for compressed sensing. Signal Process. Image Commun. 89: 115989 (2020) - 2019
- [j1]Yueming Su, Qiusheng Lian, Xiaohua Zhang, Baoshun Shi, Fan Xiaoyu:
Multi-scale Cross-path Concatenation Residual Network for Poisson denoising. IET Image Process. 13(8): 1295-1303 (2019)
Coauthor Index
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