Qiusheng Lian
Orcid: 0000-0002-0712-8459
According to our database1,
Qiusheng Lian
authored at least 37 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography.
Mach. Learn. Sci. Technol., March, 2024
Provable deep video denoiser using spatial-temporal information for video snapshot compressive imaging: Algorithm and convergence analysis.
Signal Process., January, 2024
IEEE Trans. Computational Imaging, 2024
2023
Constructing comprehensive and discriminative representations with diverse attention for occluded person re-identification.
J. Vis. Commun. Image Represent., December, 2023
TwP: Two-stage projection framework with manifold constraint for image reconstruction.
Digit. Signal Process., September, 2023
Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium.
IEEE CAA J. Autom. Sinica, June, 2023
DeepCDL-PR: Deep unfolded convolutional dictionary learning with weighted <i>ℓ</i><sub>1</sub>-norm for phase retrieval.
Digit. Signal Process., May, 2023
Appl. Intell., April, 2023
LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing.
Signal Process., 2023
2022
IEEE Signal Process. Lett., 2022
PeerJ Comput. Sci., 2022
Supervised dual tight frame learning with deep thresholding network for phase retrieval.
IET Image Process., 2022
Digit. Signal Process., 2022
CoRR, 2022
Convolutional Sparse Coding with Weighted L1 Norm for Phase Retrieval: Algorithm and Its Deep Unfolded Network.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
A Trainable Bounded Denoiser Using Double Tight Frame Network for Snapshot Compressive Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2022
2020
iPiano-Net: Nonconvex optimization inspired multi-scale reconstruction network for compressed sensing.
Signal Process. Image Commun., 2020
Mixed source localization and gain-phase perturbation calibration in partly calibrated symmetric uniform linear arrays.
Signal Process., 2020
Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method.
Signal Process., 2020
Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection.
Signal Process., 2020
Digit. Signal Process., 2020
2019
Signal Process., 2019
PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems.
Signal Process., 2019
IET Image Process., 2019
Online Feature Selection for Streaming Features Using Self-Adaption Sliding-Window Sampling.
IEEE Access, 2019
2018
Application of ELM-Hammerstein model to the identification of solid oxide fuel cells.
Neural Comput. Appl., 2018
Digit. Signal Process., 2018
Digit. Signal Process., 2018
Digit. Signal Process., 2018
IEEE Access, 2018
2017
2-D Angles of Arrival Estimation Utilizing Two-Step Weighted <i>l</i><sub>1</sub>-Norm Penalty under Nested Coprime Array with Compressed Inter-Element Spacing.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017
Digit. Signal Process., 2017
Compressed Sensing MRI With Phase Noise Disturbance Based on Adaptive Tight Frame and Total Variation.
IEEE Access, 2017
2016
Compressed sensing magnetic resonance imaging based on dictionary updating and block-matching and three-dimensional filtering regularisation.
IET Image Process., 2016
2015
Signal Process., 2015
EURASIP J. Adv. Signal Process., 2015
2007
Proceedings of the Advances in Neural Networks, 2007