|Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University|
|Email: firstname.lastname@example.org / email@example.com|
|Computational Sensing Group at Xiamen University|
Huiting Liu is a graduate student of Department of Electronic Science at Xiamen University in China.
|Magnetic resonance spectroscopy|
|Machine learning and deep learning|
|Graduate Student (Sept. 2019-Current) (Postgraduate recommendation without examination)
Department of Electronic Science, School of Electronic Science and Engineering, Xiamen University, Xiamen, China.
Advisor: Prof. Xiaobo Qu.
B.S. (Sept. 2015-June 2019)
|Research and Teaching Experiences|
|Honorable Mention of 2018 Provincial Innovation and Entrepreneurship Training Program for College Students(team).|
|2016、2017、2018 Third-class Scholarship.|
|Deep learning framework: Tensorflow|
|Mastered programming languages: Matlab、Python、Java(Android)|
|(1) Journal Papers|
|Wanqi Hu, Huiting Liu, Dicheng Chen, Tianyu Qiu, Hongwei Sun, Chunyan Xiong, Jianzhong Lin, Di Guo, Hao Chen*, Xiaobo Qu*, Coil Combination of Multichannel Single Voxel Magnetic Resonance Spectroscopy with Repeatedly Sampled In Vivo Data, molecules, 26(13):3896, 2021.(SCI, JCR 2, IF 4.4)|
|Tianyu Qiu, Zi Wang, Huiting Liu, Di Guo, Xiaobo Qu*, Review and Prospect: NMR Spectroscopy Denoising and Reconstruction with Low-Rank Hankel Matrices and Tensors, Magentic Resonance in Chemistry, 59(3):324-345, 2020. (SCI, JCR 3, IF 2.0)|
|Zhangren Tu, Huiting Liu, Jiaying Zhan, Di Guo*, A Fast Self-Learning Subspace Reconstruction Method for Non-Uniformly Sampled Nuclear Magnetic Resonance Spectroscopy>, applied sciences, 10(11):3939, 2020.(SCI, JCR 3, IF 2.679)|