Jingshuai Liu

According to our database, Jingshuai Liu authored at least 9 papers between 2021 and 2023.

Collaborative distances:

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

2023

High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

IEEE Trans. Computational Imaging, 2023

2022

A Lower Limb Exoskeleton With Rigid and Soft Structure for Loaded Walking Assistance.

Wujing Cao, Chunjie Chen, Dashuai Wang, Xinyu Wu, Lingxing Chen, Tiantian Xu, Jingshuai Liu

IEEE Robotics Autom. Lett., 2022

An sEMG based adaptive method for human-exoskeleton collaboration in variable walking environments.

Yong He, Feng Li, Jinke Li, Jingshuai Liu, Xinyu Wu

Biomed. Signal Process. Control., 2022

Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Adaptive Admittance Control of Human-Exoskeleton System Using RNN Optimization.

Pengchen Lian, Yong He, Yue Ma, Jingshuai Liu, Xinyu Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Bionic Design of a Self-Reconfigurable Modular Robot for Search and Rescue.

Guangju Gao, Jingshuai Liu, Yong He, Jianquan Sun, Xinyu Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Fine-Grained Mri Reconstruction Using Attentive Selection Generative Adversarial Networks.

Jingshuai Liu, Mehrdad Yaghoobi

Proceedings of the IEEE International Conference on Acoustics, 2021