hengfa

 

Homepage of Hengfa Lu (English, 中文)

Master
Department of Electronic Science, Xiamen University, China
 
Email: hengfalu@stu.xmu.edu.cn
            hengfalu@gmail.com
 
Group menber of Computational Sensing Group
Research Center of Magnetic Resonance and Medical Imaging
 
 
 



Research interests Education Research and Teaching Experiences Selected Awards Professional Skills Recent Publications

Research Interests
d Fast magnetic resonance imaging and spectroscopy d Machine learning and deep learning
d Signal processing d Convex and non-convex optimization
d Medical image processing d High-performance computation
Education
d M.S. (Sep. 2015-Jun. 2018)
Postgraduate recommendation without examination
Xiamen University, Fujian Province, China
Advisor: Prof. Xiaobo Qu
Major: Electronics and Communication Engineering
d

B.S. (Sep. 2011-Jun. 2015)
Shantou University, Guangdong Province, China
Advisor:Prof. Jingwen Yan
Major: Electronic and Information Engineering

Research and Teaching Experiences
(a) Research assistant (Jul. 2015 - Sep. 2018)
     Computational Sensing Group, Research Center of Magnetic Resonance and Medical Imaging, Department of Electronic Science, Xiamen University, China
          - Fast magnetic resonance spectroscopy and low rank reconstruction
d Developed reconstruction method for hybrid time and frequency signal with application to fast MRS (the results have been published in journal articles ).
d Attended the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (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'.
          - Fast magnetic resonance imaging and deep learning
d Super-resolution reconstruction of magnetic resonance image based on convolutional neural network
- Together with my advisor to guide one undergraduate student to complete the graduation project of “Convolutional neural network based MR image super resolution”
d 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).
d

Attended Computational Biomedical Imaging Workshop held in Shanghai, China, from Oct. 17 to 18, 2015

(b) Teaching assistant (2016’s spring semester)
d - Course: Principles of Circuits Analysis
- Lecturer: Xiaobo Qu
Selected Wards
d 11/2017, National Scholarship for Graduate Student
d 05/2014, The second prize of HOLTEK Cup Single Integrated Circuit Application Contest
d 03/2014, Be awarded excellent, Innovative Experiment Project of College Students in Guangdong Province (Title: Design of Portable Projector Based on ARM)
d 10/2013, National Encouragement Shcolarship
d 09/2013, The third prize in Guangdong Division, National Student Electronic Design Competition
Professional Skills
(a) Magnetic resonance instruments
Master the operation of human magnetic resonance imaging scanner (GE, MR750w 3.0T)
Master the operation of Varian small animal MRI scanner (Varian 7.0T)
Master the operation of nuclear magnetic resonance spectrometer (Varian 500 MHz spectrometer)
(b) Deep learning
Deep learning framework: Caffe and Tensorflow
Mastered programming languages: C, Java, Python and shell script.
Proficient in Linux, Windows and Mac OS systems.
(c) Computer server maintenance
Computer server maintenance (09/2015 - 09/2018 )
- OS:Centos 7,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 (e.g. caffe, NMRPipe) and accounts management.
(d) Others

Assisted research grant application
- Assisted Prof. Xiaobo to apply for the research grant, including project application writing, discussions on the research plan and preparing slides.

Recent Publications
(a) Journal papers
d 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. (SCI, JCR 1, TOP Journal, IF 12.26)
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, 65(4): 809-820, 2018.
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.
d 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.
d 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.
d 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.
(b) Conference paper
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, 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]
(c) Conference abstracts
d 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.
d 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.
d 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.