Qingyong Zhu

According to our database, Qingyong Zhu authored at least 27 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Physics-Guided Self-Supervised Implicit Neural Representation for Accelerated $\text{T}_{1\rho }$ Mapping.

Yuanyuan Liu, Jinwen Xie, Jianhao Wu, Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng, Haifeng Wang, Zhen Song, Dong Liang, Yanjie Zhu

IEEE Trans. Biomed. Eng., May, 2026

Logarithmic function minimization to compressed sensing with application to magnetic resonance imaging.

Angang Cui, Qingyong Zhu, Lijun Zhang, Shengli Xue

Numer. Algorithms, March, 2026

CogGen: Cognitive-Load-Informed Fully Unsupervised Deep Generative Modeling for Compressively Sampled MRI Reconstruction.

Qingyong Zhu, Yumin Tan, Xiang Gu, Dong Liang

CoRR, March, 2026

J-Score: Joint Distribution Learning With Score-Based Diffusion for Accelerating T1ρ Mapping.

Congcong Liu, Yuanyuan Liu, Chentao Cao, Jing Cheng, Qingyong Zhu, Tian Zhou, Chen Luo, Yanjie Zhu, Haifeng Wang, Zhuo-Xu Cui, Dong Liang

IEEE Trans. Medical Imaging, February, 2026

2025

DUN-SRE: Deep Unrolling Network With Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction.

Yuliang Zhu, Jing Cheng, Qi Xie, Zhuo-Xu Cui, Qingyong Zhu, Yuanyuan Liu, Xin Liu, Jianfeng Ren, Chengbo Wang, Dong Liang

IEEE J. Sel. Top. Signal Process., December, 2025

Flow-Guided Implicit Neural Representation for Motion-Aware Dynamic MRI Reconstruction.

Baoqing Li, Yuanyuan Liu, Congcong Liu, Qingyong Zhu, Jing Cheng, Yihang Zhou, Hao Chen, Zhuo-Xu Cui, Dong Liang

CoRR, November, 2025

PEARL: Cascaded Self-Supervised Cross-Fusion Learning for Parallel MRI Acceleration.

Qingyong Zhu, Bei Liu, Zhuo-Xu Cui, Chentao Cao, Xiaomeng Yan, Yuanyuan Liu, Jing Cheng, Yihang Zhou, Yanjie Zhu, Haifeng Wang, Hongwu Zeng, Dong Liang

IEEE J. Biomed. Health Informatics, May, 2025

Boosting of Mutual-Structure Denoising: A Plug-and-Play Solution for Compressive Sampling MRI Reconstruction With Theoretical Guarantees.

Qingyong Zhu, Majun Shi, Zhuo-Xu Cui, Hongwu Zeng, Dong Liang

IEEE Signal Process. Lett., 2025

Weak submodularity implies localizability: Local search for constrained non-submodular function maximization.

Majun Shi, Qingyong Zhu, Bei Liu, Yuchao Li

Discret. Math., 2025

Equivariant Deformable Convolutions for Unrolling Networks in Cardiac Cine MR Imaging.

Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Yuanyuan Liu, Zhaochi Wen, Jianfeng Ren, Chengbo Wang, Dong Liang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion.

Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Haifeng Wang, Yanjie Zhu, Yihang Zhou, Jianping Zhang, Qiegen Liu, Dong Liang

IEEE Trans. Medical Imaging, October, 2024

2023

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging.

Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang

IEEE Trans. Medical Imaging, December, 2023

K-UNN: k-space interpolation with untrained neural network.

Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

Medical Image Anal., August, 2023

Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.

Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Leslie Ying, Dong Liang

IEEE Signal Process. Mag., March, 2023

Accelerating Magnetic Resonance T_1ρ Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART).

Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu

IEEE Trans. Medical Imaging, 2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.

Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang

CoRR, 2023

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI.

Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang

CoRR, 2023

2022

Deep unfolding as iterative regularization for imaging inverse problems.

Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng, Dong Liang

CoRR, 2022

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction.

Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

CoRR, 2022

K-UNN: k-Space Interpolation With Untrained Neural Network.

Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

CoRR, 2022

PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging.

Chentao Cao, Zhuo-Xu Cui, Qingyong Zhu, Dong Liang, Yanjie Zhu

CoRR, 2022

2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI.

Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang

CoRR, 2021

Using Spatio-Temporal Correlation Based Hybrid Plug-and-Play Priors (SEABUS) for Accelerated Dynamic Cardiac Cine MRI.

Qingyong Zhu, Dong Liang

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2019

Robust MR image super-resolution reconstruction with cross-modal edge-preserving regularization.

Qingyong Zhu, Yanan Ren, Zhilang Qiu, Wei Wang

Int. J. Imaging Syst. Technol., 2019

2015

Reference guided CS-MRI with gradient orientation priors.

Xi Peng, Qingyong Zhu, Shanshan Wang, Dong Liang

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2011

Stability and oscillations of numerical solutions for differential equations with piecewise continuous arguments of alternately advanced and retarded type.

Qi Wang, Qingyong Zhu, Mingzhu Liu

J. Comput. Appl. Math., 2011

Stability analysis of Runge-Kutta methods for differential equations with piecewise continuous arguments of mixed type.

Qi Wang, Qingyong Zhu

Int. J. Comput. Math., 2011