Zhangren Tu

According to our database, Zhangren Tu authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy.

Zi Wang, Di Guo, Zhangren Tu, Yihui Huang, Yirong Zhou, Jian Wang, Liubin Feng, Donghai Lin, Yongfu You, Tatiana Agback, Vladislav Orekhov, Xiaobo Qu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures.

Di Guo, Zhangren Tu, Yi Guo, Yirong Zhou, Jian Wang, Zi Wang, Tianyu Qiu, Min Xiao, Yinran Chen, Liubin Feng, Yuqing Huang, Donghai Lin, Qing Hong, Amir Goldbourt, Meijin Lin, Xiaobo Qu

IEEE Trans. Computational Imaging, 2023

Hypercomplex Low Rank Reconstruction for NMR Spectroscopy.

Yi Guo, Jiaying Zhan, Zhangren Tu, Yirong Zhou, Jianfan Wu, Qing Hong, Yuqing Huang, Vladislav Orekhov, Xiaobo Qu, Di Guo

Signal Process., 2023

CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis.

Di Guo, Sijin Li, Jun Liu, Zhangren Tu, Tianyu Qiu, Jingjing Xu, Liubin Feng, Donghai Lin, Qing Hong, Meijin Lin, Yanqin Lin, Xiaobo Qu

CoRR, 2023

2021

A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy.

Zhangren Tu, Zi Wang, Jiaying Zhan, Yihui Huang, Xiaofeng Du, Min Xiao, Xiaobo Qu, Di Guo

IET Signal Process., 2021

Low-rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy.

Di Guo, Jiaying Zhan, Yirong Zhou, Zhangren Tu, Zifei Zhang, Zhong Chen, Xiaobo Qu

IET Signal Process., 2021

2020

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning.

Zi Wang, Di Guo, Yihui Huang, Zhangren Tu, Vladislav Orekhov, Xiaobo Qu

CoRR, 2020

2019

Salt and Pepper Noise Removal with Multi-Class Dictionary Learning and L0 Norm Regularizations.

Di Guo, Zhangren Tu, Jiechao Wang, Min Xiao, Xiaofeng Du, Xiaobo Qu

Algorithms, 2019