Homepage of Hengfa Lu (English, 中文)
hengfalu@gmail.com
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Homepage of Hengfa Lu (English, 中文) |
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| Department of Electronic Science,School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University. | ||||
| Email: hengfalu@stu.xmu.edu.cn hengfalu@gmail.com |
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| Computational Sensing Group at Xiamen University
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Magnetic Resonance Imaging | |
Magnetic Resonance Spectroscopy | ||||||
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Computational Imaging | |
Signal Processing | ||||||
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Machine Learning | |
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M.S. (Sep. 2015-Jun. 2018) Postgraduate recommendation without examination Xiamen University, Fujian Province, China Advisor: Prof. Xiaobo Qu Major: Electronics and Communication Engineering |
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B.S. (Sep. 2011-Jun. 2015) |
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| Research and Teaching Experiences | |||||||||
| (a) Research associate (Jun. 2018 - Jan. 2020) Computational Sensing Group, Department of Electronic Science, Xiamen University, China |
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| - Accelerated magnetic resonance spectroscopy with deep learning | |||||||||
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Proposed the preliminary-version deep learning network for high-quality, reliable, and very fast magnetic resonance spectra reconstruction from limited experimental data | ||||||||
| (b) Research associate (Jul. 2015 - Jun. 2018) Computational Sensing Group, Research Center of Magnetic Resonance and Medical Imaging, Department of Electronic Science, Xiamen University, China |
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| - Fast magnetic resonance spectroscopy and low rank reconstruction | |||||||||
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Developed reconstruction method for hybrid time and frequency signal with application to fast MRS (the results have been published in journal articles) | ||||||||
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Attended EMBC’17 held in Jeju Island, Korea, from July 11 to 15, 2017 - Gave a 15-minute oral presentation on "A low rank hankel matrix reconstruction method for ultrafast magnetic resonance spectroscopy" |
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| - Fast magnetic resonance imaging and deep learning | |||||||||
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Super-resolution reconstruction of magnetic resonance image based on convolution neural network - Together with my advisor to guide one undergraduate student to complete the graduation project of “Convolution neural network based MR image super resolution” |
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Developed a C language based fast MRI reconstruction platform, the program contains all the MRI reconstruction models and algorithms developed by Computational Sensing Group (CSG). | ||||||||
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Attended Computational Biomedical Imaging Workshop held in Shanghai, China, from Oct. 17 to 18, 2015 |
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| (c) Teaching assistant (2016’s spring semester) | |||||||||
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- Course: Principles of Circuits Analysis - Lecturer: Xiaobo Qu |
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| Selected Wards | |||||||||
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11/2017, National Scholarship for Graduate Student | ||||||||
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05/2014, The second prize of HOLTEK Cup Single Integrated Circuit Application Contest | ||||||||
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03/2014, Be awarded excellent, Innovative Experiment Project of College Students in Guangdong Province (Title: Design of Portable Projector Based on ARM) | ||||||||
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10/2013, National Encouragement Scholarship | ||||||||
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09/2013, The third prize in Guangdong Division, National Student Electronic Design Competition | ||||||||
| Professional Skills | |||||||||
| (a) Magnetic resonance instruments | |||||||||
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Master the operation of human magnetic resonance imaging scanner (GE, MR750w 3.0T) | ||||||||
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Master the operation of Varian small animal MRI scanner (Varian 7.0T) | ||||||||
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Master the operation of nuclear magnetic resonance spectrometer (Varian 500 MHz spectrometer) | ||||||||
| (b) Deep learning | |||||||||
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Deep learning framework: Caffe, TensorFlow and PyTorch | ||||||||
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Mastered programming languages: C, Java, Python, Julia and shell script. | ||||||||
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Proficient in Linux, Windows and Mac OS systems. | ||||||||
| (c) Computer server maintenance | |||||||||
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Computer server maintenance (09/2015 - 09/2018 ) - OS：Centos. CentOS (Community Enterprise Operating System) is one of the Linux distributions. - Two computational servers, including Dell PowerEdge T630 & Rack Server of Langchao, please visit Facilities for more details on computer servers. - As a server administrator, maintain two computational servers of research group including hardware maintenance, operating system installation, professional software installations and accounts management. |
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| (d) Others | |||||||||
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Assisted research grant application |
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| (a) Preprints | |||||||||
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Xinlin Zhang, Hengfa Lu, Di Guo, Feng Huang, Xiaobo Qu, A convergence proof of projected fast iterative soft-thresholding algorithm for parallel magnetic resonance imaging, arXiv: 1909.07600, 2019. | ||||||||
| (b) Journal papers | |||||||||
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Xiaobo Qu, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Tatiana Agback, Vladislav Orekhov, Zhong Chen, Accelerated nuclear magnetic resonance spectroscopy with deep learning, Angewandte Chemie International Edition, DOI:10.1002/anie.201908162, 2019. | ||||||||
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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, 65(4): 809-820, 2018. | ||||||||
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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. | ||||||||
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Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu, Hankel matrix nuclear norm regularized tensor completion for N-dimensional exponential signals, IEEE Transactions on Signal Processing, 65(14): 3702-3717, 2017. | ||||||||
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Di Guo, Hengfa Lu, Xiaobo Qu, A fast low rank Hankel matrix factorization reconstruction method for non-uniformly sampled magnetic resonance spectroscopy, IEEE Access, 5: 16033-16039, 2017. | ||||||||
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Zongying Lai, Xiaobo Qu, Hengfa Lu, Xi Peng, Di Guo, Yu Yang, Gang Guo, Zhong Chen, Sparse MRI reconstruction using multi-contrast image guided graph representation, Magnetic Resonance Imaging, 43: 95-104, 2017. | ||||||||
| (c) Conference paper | |||||||||
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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, The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-EMBC 2017, Jeju Island, Korea, July 11-15, 2017, pp. 3269-3272. [Oral presentation] | ||||||||
| (d) Conference abstracts | |||||||||
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Hengfa Lu, Xinlin Zhang, 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. | ||||||||
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Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu, Accelerate multi-dimensional magnetic resonance spectroscopy with low rank tensor and Hankel structures, International Society for Magnetic Resonance in Medicine 25th Scientific Meeting-ISMRM’17, Honolulu, USA, April 22-27, 2017, pp. 1420. | ||||||||
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Zongying Lai, Xiaobo Qu, Jiaxi Ying, Hengfa Lu, Zhifang Zhan, Di Guo, Zhong Chen, Multi-contrast image guided graph representation and its application in compressed sensing MRI reconstruction, International Society for Magnetic Resonance in Medicine 25th Scientific Meeting-ISMRM’17, Honolulu, USA, April 22-27, 2017, pp. 1423. | ||||||||