Qingyong Zhu - RankMe

27 papers Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CogGen: Cognitive-Load-Informed Fully Unsupervised Deep Generative Modeling for Compressively Sampled MRI Reconstruction. CoRR Qingyong Zhu, Yumin Tan, Xiang Gu, Dong Liang
2026	J	`jnl`	J-Score: Joint Distribution Learning With Score-Based Diffusion for Accelerating T1ρ Mapping. IEEE Trans. Medical Imaging Congcong Liu, Yuanyuan Liu, Chentao Cao, Jing Cheng, Qingyong Zhu, Tian Zhou, Chen Luo, Yanjie Zhu, Haifeng Wang, Zhuo-Xu Cui, Dong Liang
2026	J	`jnl`	Logarithmic function minimization to compressed sensing with application to magnetic resonance imaging. Numer. Algorithms Angang Cui, Qingyong Zhu, Lijun Zhang, Shengli Xue
2025	J	`jnl`	Boosting of Mutual-Structure Denoising: A Plug-and-Play Solution for Compressive Sampling MRI Reconstruction With Theoretical Guarantees. IEEE Signal Process. Lett. Qingyong Zhu, Majun Shi, Zhuo-Xu Cui, Hongwu Zeng, Dong Liang
2025	J	`jnl`	DUN-SRE: Deep Unrolling Network With Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction. IEEE J. Sel. Top. Signal Process. Yuliang Zhu, Jing Cheng, Qi Xie, Zhuo-Xu Cui, Qingyong Zhu, Yuanyuan Liu, Xin Liu, Jianfeng Ren, Chengbo Wang, Dong Liang
2025	J	`jnl`	DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction. CoRR Yuliang Zhu, Jing Cheng, Qi Xie, Zhuo-Xu Cui, Qingyong Zhu, Yuanyuan Liu, Xin Liu, Jianfeng Ren, Chengbo Wang, Dong Liang
2025	—	`conf`	Equivariant Deformable Convolutions for Unrolling Networks in Cardiac Cine MR Imaging. BIBM Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Yuanyuan Liu, Zhaochi Wen, Jianfeng Ren, Chengbo Wang, Dong Liang
2025	J	`jnl`	Flow-Guided Implicit Neural Representation for Motion-Aware Dynamic MRI Reconstruction. CoRR Baoqing Li, Yuanyuan Liu, Congcong Liu, Qingyong Zhu, Jing Cheng, Yihang Zhou, Hao Chen, Zhuo-Xu Cui, Dong Liang
2025	J	`jnl`	PEARL: Cascaded Self-Supervised Cross-Fusion Learning for Parallel MRI Acceleration. IEEE J. Biomed. Health Informatics 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
2025	J	`jnl`	Weak submodularity implies localizability: Local search for constrained non-submodular function maximization. Discret. Math. Majun Shi, Qingyong Zhu, Bei Liu, Yuchao Li
2024	J	`jnl`	Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion. IEEE Trans. Medical Imaging 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
2023	J	`jnl`	Accelerating Magnetic Resonance T IEEE Trans. Medical Imaging Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu
2023	J	`jnl`	Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. IEEE Trans. Medical 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
2023	J	`jnl`	K-UNN: k-space interpolation with untrained neural network. Medical Image Anal. Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
2023	J	`jnl`	Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI. CoRR Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang
2023	J	`jnl`	Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks. IEEE Signal Process. Mag. Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Leslie Ying, Dong Liang
2023	J	`jnl`	Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR 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
2022	J	`jnl`	Deep unfolding as iterative regularization for imaging inverse problems. CoRR Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng, Dong Liang
2022	J	`jnl`	K-UNN: k-Space Interpolation With Untrained Neural Network. CoRR Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
2022	J	`jnl`	PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging. CoRR Chentao Cao, Zhuo-Xu Cui, Qingyong Zhu, Dong Liang, Yanjie Zhu
2022	J	`jnl`	Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction. CoRR Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
2021	J	`jnl`	Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI. CoRR Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang
2021	—	`conf`	Using Spatio-Temporal Correlation Based Hybrid Plug-and-Play Priors (SEABUS) for Accelerated Dynamic Cardiac Cine MRI. MLMI@MICCAI Qingyong Zhu, Dong Liang
2019	J	`jnl`	Robust MR image super-resolution reconstruction with cross-modal edge-preserving regularization. Int. J. Imaging Syst. Technol. Qingyong Zhu, Yanan Ren, Zhilang Qiu, Wei Wang
2015	—	`conf`	Reference guided CS-MRI with gradient orientation priors. EMBC Xi Peng, Qingyong Zhu, Shanshan Wang, Dong Liang
2011	J	`jnl`	Stability analysis of Runge-Kutta methods for differential equations with piecewise continuous arguments of mixed type. Int. J. Comput. Math. Qi Wang, Qingyong Zhu
2011	J	`jnl`	Stability and oscillations of numerical solutions for differential equations with piecewise continuous arguments of alternately advanced and retarded type. J. Comput. Appl. Math. Qi Wang, Qingyong Zhu, Mingzhu Liu