Necessary and Sufficient Convergence Conditions for Algebraic Image Reconstruction Algorithms. - Gangrong Qu; Caifang Wang; Ming Jiang 001 (IEEE Trans. Image Process., 2009)

Two Effective Strategies for Complex Domain Compressive Sensing. - Ruirui Kang; Gangrong Qu; Bin Wang (Circuits Syst. Signal Process., 2016)

Relaxation strategy for the Landweber method. - Guanghui Han; Gangrong Qu; Ming Jiang 001 (Signal Process., 2016)

Restricted isometry constant improvement based on a singular value decomposition-weighted measurement matrix for compressed sensing. - Qian Wang; Gangrong Qu (IET Commun., 2017)

Extended OMP algorithm for sparse phase retrieval. - Qian Wang; Gangrong Qu (Signal Image Video Process., 2017)

A new greedy algorithm for sparse recovery. - Qian Wang; Gangrong Qu (Neurocomputing, 2018)

The reweighted Landweber scheme for the extrapolation of band-limited signals. - Mingfu Chen; Gangrong Qu; Lei Shi; Shan Gao (Signal Process., 2019)

A thresholding algorithm for sparse recovery via Laplace norm. - Qian Wang; Gangrong Qu; Guanghui Han (Signal Image Video Process., 2019)

Filter-Based Landweber Iterative Method for Reconstructing the Light Field. - Shan Gao; Gangrong Qu (IEEE Access, 2020)

Prior information constrained alternating direction method of multipliers for longitudinal compressive sensing MR imaging. - Ruirui Kang; Danni Ai; Gangrong Qu; Qingbo Li; Xu Li; Yurong Jiang; Yong Huang 002; Hong Song; Yongtian Wang; Jian Yang 009 (Neurocomputing, 2020)

The reweighted Landweber scheme for the extrapolation of band-limited signals-II. - Mingfu Chen; Gangrong Qu (Signal Process., 2020)

A Method of Reweighting the Sensing Matrix for Compressed Sensing. - Lei Shi; Gangrong Qu; Qian Wang (IEEE Access, 2021)

A TV regularisation sparse light field reconstruction model based on guided-filtering. - Shan Gao; Gangrong Qu; Mårten Sjöström; Yuhan Liu (Signal Process. Image Commun., 2022)

Accelerated convergence strategy of weighted least squares method for image reconstruction. - Jiajia Zhou; Gangrong Qu (Commun. Nonlinear Sci. Numer. Simul., 2023)

Sampling-Priors-Augmented Deep Unfolding Network for Robust Video Compressive Sensing. - Yuhao Huang; Gangrong Qu; Youran Ge (CoRR, 2023)

Cyclic gradient based iterative algorithm for a class of generalized coupled Sylvester-conjugate matrix equations. - Wenli Wang; Gangrong Qu; Caiqin Song (J. Frankl. Inst., 2023)

Block-row and block-column iterative algorithms for solving linear matrix equation. - Wenli Wang; Gangrong Qu; Caiqin Song; Duo Liu (Comput. Appl. Math., 2023)

An Improved Reweighted Method for Optimizing the Sensing Matrix of Compressed Sensing. - Lei Shi; Gangrong Qu (IEEE Access, 2024)

Greedy randomized block Kaczmarz method for matrix equation AXB=C and its applications in color image restoration. - Wenli Wang; Duo Liu; Gangrong Qu; Caiqin Song (CoRR, 2024)

Transformer-Enhanced CNN Based on Intensive Feature for Hyperspectral Unmixing. - Youran Ge; Lirong Han; Mercedes Eugenia Paoletti; Juan Mario Haut; Gangrong Qu (IEEE Geosci. Remote. Sens. Lett., 2024)

A Preconditioned Landweber iteration-based Bundle adjustment for large-scale 3D reconstruction. - Shangzuo Xie; Gangrong Qu; Wei Li (Commun. Nonlinear Sci. Numer. Simul., 2024)

Sampling-priors-augmented deep unfolding network for robust video compressive sensing. - Shangzuo Xie; Yuhao Huang; Gangrong Qu; Youran Ge (J. Frankl. Inst., 2025)

REDU-Net: Robust and Efficient Dynamic Unfolding Network for Abundance Estimation. - Youran Ge; Lirong Han; Mercedes Eugenia Paoletti; Juan Mario Haut; Gangrong Qu; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2025)