Rotation Invariant Texture Classification Algorithm Based on DT-CWT and SVM. - Shuzhen Chen 002; Yan Shang; Bingyi Mao; Qiusheng Lian (ISNN (3), 2007)

Sparse representation utilizing tight frame for phase retrieval. - Baoshun Shi; Qiusheng Lian; Shuzhen Chen 002 (EURASIP J. Adv. Signal Process., 2015)

Parameter identification of fractional order systems using block pulse functions. - Yinggan Tang; Haifang Liu; Weiwei Wang; Qiusheng Lian; Xin-Ping Guan (Signal Process., 2015)

Compressed sensing magnetic resonance imaging based on dictionary updating and block-matching and three-dimensional filtering regularisation. - Baoshun Shi; Qiusheng Lian; Shuzhen Chen 002 (IET Image Process., 2016)

Compressed Sensing MRI With Phase Noise Disturbance Based on Adaptive Tight Frame and Total Variation. - Fan Xiaoyu; Qiusheng Lian; Baoshun Shi (IEEE Access, 2017)

Transfer orthogonal sparsifying transform learning for phase retrieval. - Qiusheng Lian; Baoshun Shi; Shuzhen Chen 002 (Digit. Signal Process., 2017)

2-D Angles of Arrival Estimation Utilizing Two-Step Weighted l1-Norm Penalty under Nested Coprime Array with Compressed Inter-Element Spacing. - Ye Tian 014; Qiusheng Lian; Kai Liu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

SBM3D: Sparse Regularization Model Induced by BM3D for Weighted Diffraction Imaging. - Baoshun Shi; Qiusheng Lian; Shuzhen Chen 002; Fan Xiaoyu (IEEE Access, 2018)

FASPR: A fast sparse phase retrieval algorithm via the epigraph concept. - Baoshun Shi; Shuzhen Chen 002; Ye Tian 014; Fan Xiaoyu; Qiusheng Lian (Digit. Signal Process., 2018)

Coded diffraction imaging via double sparse regularization model. - Baoshun Shi; Qiusheng Lian; Shuzhen Chen 002; Ye Tian 014; Fan Xiaoyu (Digit. Signal Process., 2018)

Mixed near-field and far-field source localization utilizing symmetric nested array. - Ye Tian 014; Qiusheng Lian; He Xu (Digit. Signal Process., 2018)

Application of ELM-Hammerstein model to the identification of solid oxide fuel cells. - Yinggan Tang; Chunning Bu; Minmin Liu; Linlin Zhang; Qiusheng Lian (Neural Comput. Appl., 2018)

Online Feature Selection for Streaming Features Using Self-Adaption Sliding-Window Sampling. - Dianlong You; Xindong Wu 001; Limin Shen; Song Deng; Zhen Chen 007; Chuan Ma; Qiusheng Lian (IEEE Access, 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)

PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems. - Baoshun Shi; Qiusheng Lian; Fan Xiaoyu (Signal Process., 2019)

Non-coherent direction of arrival estimation utilizing linear model approximation. - Ye Tian 014; Jiaxin Shi; Yanru Wang; Qiusheng Lian (Signal Process., 2019)

Single image rain removal using image decomposition and a dense network. - Qiusheng Lian; Wenfeng Yan; Xiaohua Zhang; Shuzhen Chen 002 (IEEE CAA J. Autom. Sinica, 2019)

A deep unrolling network inspired by total variation for compressed sensing MRI. - Xiaohua Zhang; Qiusheng Lian; Yuchi Yang; Yueming Su (Digit. 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)

Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method. - Baoshun Shi; Qiusheng Lian; Huibin Chang (Signal Process., 2020)

Mixed source localization and gain-phase perturbation calibration in partly calibrated symmetric uniform linear arrays. - Ye Tian 014; Yanru Wang; Xiaoliu Rong; Qiusheng Lian (Signal Process., 2020)

iPiano-Net: Nonconvex optimization inspired multi-scale reconstruction network for compressed sensing. - Yueming Su; Qiusheng Lian (Signal Process. Image Commun., 2020)

A Trainable Bounded Denoiser Using Double Tight Frame Network for Snapshot Compressive Imaging. - Baoshun Shi; Yuxin Wang; Qiusheng Lian (ICASSP, 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 (ICIP, 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)

HIONet: Deep priors based deep unfolded network for phase retrieval. - Yuchi Yang; Qiusheng Lian; Xiaohua Zhang; Dan Zhang; Huibin Zhang (Digit. Signal Process., 2022)

Supervised dual tight frame learning with deep thresholding network for phase retrieval. - Baoshun Shi; Qiusheng Lian; Yueming Su (IET Image Process., 2022)

RatUNet: residual U-Net based on attention mechanism for image denoising. - Huibin Zhang; Qiusheng Lian; Jianmin Zhao; Yining Wang; Yuchi Yang; Suqin Feng (PeerJ Comput. Sci., 2022)

DualPRNet: Deep Shrinkage Dual Frame Network for Deep Unrolled Phase Retrieval. - Baoshun Shi; Qiusheng Lian (IEEE Signal Process. Lett., 2022)

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)

Total generalized variational-liked network for image denoising. - Xiaohua Zhang; Qiusheng Lian; Dan Zhang (Appl. Intell., 2023)

DeepCDL-PR: Deep unfolded convolutional dictionary learning with weighted ℓ1-norm for phase retrieval. - Baoshun Shi; Yating Gao; Yueming Su; Qiusheng Lian (Digit. Signal Process., 2023)

Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium. - Dan Zhang; Qiusheng Lian; Yueming Su; Tengfei Ren (IEEE CAA J. Autom. Sinica, 2023)

TwP: Two-stage projection framework with manifold constraint for image reconstruction. - Dan Zhang; Qiusheng Lian; Yuchi Yang (Digit. Signal Process., 2023)

Constructing comprehensive and discriminative representations with diverse attention for occluded person re-identification. - Tengfei Ren; Qiusheng Lian; Dan Zhang (J. Vis. Commun. Image Represent., 2023)

BGFlow: Brightness-guided normalizing flow for low-light image enhancement. - Jiale Chen; Qiusheng Lian; Baoshun Shi (Displays, 2024)

Transformer based Douglas-Rachford unrolling network for compressed sensing. - Yueming Su; Qiusheng Lian; Dan Zhang; Baoshun Shi (Signal Process. Image Commun., 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)

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., 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., 2024)

A Two-Phase Reference-Free Approach for Low-Light Image Enhancement. - Jiale Chen; Qiusheng Lian; Baoshun Shi; Chengli Gao (Circuits Syst. Signal Process., 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., 2024)

Boosting occluded person re-identification by leveraging occlusion attributes. - Tengfei Ren; Qiusheng Lian; Jiale Chen (Inf. Sci., 2025)

HCSAM-Net: multistage network with a hybrid of convolution and self-attention mechanism for low-light image enhancement. - Jiale Chen; Qiusheng Lian; Xinyu Zhang; Dan Zhang; Yuchi Yang (Multim. Tools Appl., 2025)