yejing

 

Homepage of Tianyu Qiu (English, 中文)

Ph.D. candidate
 
1) Department of Electronic Science and 2) Research Center of Magnetic Resonance and Medical Imaging, Xiamen University.
 
Email: 33120122203222@stu.xmu.edu.cn, 475303185@qq.com
 
Computational Sensging Group, a part of Research Center of Magnetic Resonance and Medical Imaging at Xiamen University.
 
 
 



Biosketch Research interests Education Engaged Project Awards Publications Patents

Biosketch

Tianyu Qiu is a PhD candidate of Department of Electronic Science at Xiamen University in China.

Research Interests
d

Magnetic resonance spectroscopy reconstruction

d Physics of magnetic resonance
Education
d Graduate Student (Sept. 2016-Current)
Advisor: Prof. Xiaobo Qu.
Department of Electronic Science, Xiamen University, China.
d

B.S. (Sept. 2012 - June 2016)
Department of Electronic Science, Xiamen University, China.

Engaged Projects
d National Natural Science Foundation of China (No. 61571380) (01/2016-12/2019)
d Natural Science Foundation of Fujian Province of China (No. 2015J01346) (04/2015-4/2018)
d Fundamental Research Funds for the Central Universities (No. 20720150109), President Fund of Xiamen University (01/2015-12/2017)
Awards
06/2016, Academic Innovation Award, College of Physics Science and Technology.
06/2014,  Excellent member of social practice team, Xiamen University.
Publications
(1) Journal Papers
d Hengfa Lu, Xinlin Zhang, Tianyu Qiu, Jian Yang, Jiaxi Ying, Di Guo, Zhong Chen, Xiaobo Qu, Low rank enhanced matrix recovery of hybrid time and frequency data in fast magnetic resonance spectroscopy, IEEE Transactions on Biomedical Engineering, 10.1109/TBME.2017.2719709, 2017. (SCI, JCR 2, IF 3.58)
d Xiaobo Qu*, Tianyu Qiu, Di Guo, Hengfa Lu, Jiaxi Ying, Ming Shen, Bingwen Hu, Vladislav Orekhov, Zhong Chen, High-fidelity spectroscopy reconstruction in accelerated NMR, Chemical Communications ,54(78): 10958-10961, 2018. (SCI, JCR 2, IF 3.58)
d Xiaobo Qu*, Yihui Huang, Hengfa Lu,Tianyu Qiu, Di Guo, Vladislav Orekhov, Zhong Chen*. Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning, Angewandte Chemie International Edition, DOI: 10.1002/anie.201908162,2019. (SCI, JCR 1, TOP Journal, IF 12.26)
(2) Conference Papers
d Hengfa Lu, Xinlin Zhang, Tianyu Qiu, Jian Yang, Jiaxi Ying, Di Guo, Zhong Chen, Xiaobo Qu, A low rank hankel matrix reconstruction method for ultrafast magnetic resonance spectroscopy, in the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-EMBC'17, pp. 3269-3272, July 11-15, Jeju Island, Korea, 2017.
(3) Conference abstracts
d Tianyu Qiu, Wenjing Liao, Di Guo, Zhangren Tu, Bingwen Hu, and Xiaobo Qu*, Magnetic Resonance Spectroscopy Denoising with the Automatic Regularization Parameter Estimation in Low-Rank Hankel Matrix Reconstruction, International Society for Magnetic Resonance in Medicine 28th Scientific Meeting-ISMRM’20, Sydney, Australia, April 18-23, 2020, pp. 4428.
d Xiaobo Qu*, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Tatiana Agback, Vladislav Orekhov,and Zhong Chen. Deep Learning-based Fast Magnetic Resonance Spectroscopy, International Society for Magnetic Resonance in Medicine 28th Scientific Meeting-ISMRM’20, Sydney, Australia, April 18-23, 2020, pp. 4182.
d Hengfa Lu, Xinlin Zhang, Hengfa Lu,Tianyu Qiu, Jian Yang, Di Guo, Zhong Chen, Xiaobo Qu*.A low rank Hankel matrix reconstruction approach to recover hybrid time and frequency data in non-uniformly sampled magnetic resonance spectroscopy, International Society for Magnetic Resonance in Medicine 25th Scientific Meeting-ISMRM’17,Honolulu, USA,, April 22-27, 2017, pp. 1418.
(4) Preprints
d Tianyu Qiu, Wenjing Liao, Di Guo, Dongbao Liu, Xin Wang, Xiaobo Qu*,Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices,arXiv:2001.11815, 2020.
Patents