hengfa

 

Homepage of Hengfa Lu (English, 中文)

Graduate Student
 
1) Department of Electronic Science and 2) Research Center of Magnetic Resonance and Medical Imaging, Xiamen University.
 
Email: hengfalu@stu.xmu.edu.cn, hengfalu@gmail.com
 
Computational Sensing Group, a part of Research Center of Magnetic Resonance and Medical Imaging at Xiamen University.
 
 
 



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

Biosketch

Hengfa Lu is a graduate student of Department of Electronic Science at Xiamen University in China.

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 Fast numerical algorithm d High-performance computation
Education
d Graduate Student (Sept. 2015-Current) 
Advisor: Xiaobo Qu
Major : Electronics and Communication Engineering.
Xiamen University, Fujian Province, China.
d

B.S. (Sept. 2011-June 2015) (Postgraduate recommendation without examination - Top 3%)
Shantou University, Guangdong Province, China

Research and Teaching Experiences
(a) Fast magnetic resonance spectroscopy and low rank reconstruction
d Develop reconstruction method for hybrid time and frequency signal with application to fast MRS.
d Attending the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17)
- Gave an 15-minute oral presentation on 'A low rank hankel matrix reconstruction method for ultrafast magnetic resonance spectroscopy'.
d

Basic operating skills of nuclear magnetic resonance spectrometer (Varian 500 MHz spectrosmeter)
- Passed Magnetic Resonance Spectroscopy Experiment Course (designed for graduate student) assessment.

(b) 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 to implement the CNN-based MR image super resolution.
d Develop an C language based fast MRI reconstruction platform, the program contains all the MRI reconstruction models and algorithms developed by CSG.
d

Attending Computational Biomedical Imaging Workshop (October 17-18, 2015)

d

Basic operating skills of human magnetic resonance imaging scanner (GE, MR750w 3.0T)
- Accepted a one-week operating training for the body imaging scanner in Xiamen 2nd hospital.

d Basic operating skills of Varian small animal MRI scanner (Varian 7.0 T)
- Passed Magnetic Resonance Imaging Experiment Course (designed for graduate student) assessment.
d National Key R&D Program of China, No. 2017YFC0108703 (06/2017-12/2020)
- Assist advisor to apply for the grant, including project application writing, discussion on project implementation plan and preparing needed materials.
(c) Teaching experience
d Teaching assistant (2016’s spring semester)
- 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 Encouragemwnt Sholarship
d 09/2013, The third prize in Guangdong Division, National Student Electronic Design Competition
Professional Skills
(a) Magnetic resonance instruments
Basic operating skills of human magnetic resonance imaging scanner (GE, MR750w 3.0T)
Basic operating skills of Varian small animal MRI scanner (Varian 7.0T)
Basic operating skills of nuclear magnetic resonance spectrometer (Varian 500 MHz spectrosmeter)
(b) Deep learning
Deep learning framework: Caffe
Mastered programming languages: C, Java, Python and shell script.
Proficient in using and maintaining Linux, Windows and Mac OS systems.
(c) Computer server maintenance and usage
Computer server maintenance (09/2015 - current )
- 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.
Mastered in the usage of High Performance Computing Center of Xiamen University (Pure command line operations)
(d) Others

Assist research grant application
- Assist advisor to apply for the research grant, including project application writing, discussion on project implementation plan and preparing slides.

Recent Publications
(a) Journal paper
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 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 abstract
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.