Gender: Male
Date of Birth: 07/01/1992
Add: School of Software and Applications Technologies, Zhengzhou University No. 97Wenhua Road, Jinshui District, Zhengzhou, Henan Province, 450000, P. R. China
E-mail: 18137271612@163.com
Tel: +86-18137271612
Blog: CnBlogs 博客园
jianshu 简书
| School of Software and Applications Technologies, Zhengzhou University | 2015/9-Present Zhengzhou. China |
|---|---|
| Master in Computer Science & Technology | |
| Anticipated Graduation ：June 2018 | |
| Cumulative Grade Point Average(GPA): 3.75/4.0 | |
| School of Software and Applications Technologies, Zhengzhou University | 2011/6-2015/9 Zhengzhou. China |
| Bachelor of Computer and Technology | |
| Cumulative Grade Point Average(GPA) : 3.5/4.0 (Rank:5/275) * |
xxx 2019/06~2023.06
- Participate in the development of compute vision operator library.
- Participate in the development of neural network operator library.
| Data Analysis and Computer Vision Group | 2015/09-2018.07 |
|---|---|
| 1. Research Projects | |
| Knowledge Network Model and Knowledge Service for Heterogeneous Health Data in Mobile Internet Environment | |
| 2. Publication | |
| Knowledge Network Model and Knowledge Service for Heterogeneous Health Data in Mobile Internet Environment | |
| Zhen Li, Pengsong Duan, Zhang Bo and Yangjie Cao, " Electrocardiogram Classification Using Deep LSTM Neural Networks in the Case of Small Sample Size", SI in Recent Advances and Developments in Mobile Health, Journal of Healthcare Engineering, submitted | |
| Zhen Li, Pengsong Duan, Zhang Bo and Yangjie Cao, " Electrocardiogram Classification Using Deep LSTM Neural Networks in the Case of Small Sample Size", in International Conference on Healthcare Science and Engineering,June 1-3, 2017, Zhengzhou, China | |
| Pengsong Duan, Zhen Li, Zhang Bo and Yangjie Cao,"An Effective Recognition Method for Medical Sheet Based on Deep Learning Approach", in International Conference on Computer Science & Education (IEEE Electronic Publication), accepted. | |
| Duan, P., Cao, Y., Liu, M., Wang, Y., & Li, Z.. "An effective evaluation model for cloud system based on ANP approach. ", in International Conference on Computer Science & Education 2016 (IEEE Electronic Publication) | |
| 3. Patents | |
| 1)A patent for a healthy electric chair (ZL 2015 2 1062660.9) | |
| 2)A health pillow patent (ZL 2015 2 1062993.1) | |
| (Note: All patents can be checked at http://cpquery.sipo.gov.cn/) | |
| 4. Software Copyright | |
| Human Behavior Analysis System Based on Mobile Intelligent Terminal(No. 2016R11L337619) | |
| Zhengzhou University Graduation Design Management System(No. 2016R11L337616) | |
| Gas - Liquid - Solid Phase Retrieval System for Biochemical Reactor Based on Computer Vision(No.2016R11L337609) | |
| Gas Enterprise Information Management System based Final(No. 2016R11L337597) | |
| (Note: All software copyright can be check at http://www.ccopyright.com.cn/index.php ) |
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Participate in open source project( https://github.com/Leechen2014 )
- TeamTalk is an instant message application, fixed historical information can not be viewed in Android (https://github.com/Leechen2014/TeamTalk ).
- Bug fixing for deep learning example of the tensorflow`s mobile (https://github.com/Leechen2014/tensorflow ).
- Modified the WeChat robots based on itChat with Python and published GitHub (https://github.com/Leechen2014/WeChatSend1 ).
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Translation production TensorFlow
- I am currently working on the translation of the book ‘TensorFlow for Machine Intelligence’. Translated chapters have been published to my blog.
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Participation in the development of APPs and Web based Applications
- Key developer of healthy EHome APP, which is published in android market.
- Developer of Zhengzhou City resource exchange information platform.
- Deep learning applications for mobile terminals
- Medical data analysis by Machine Learning
- Research on the Application of deep learning algorithms in Industry
- Optimize the performance of deep learning algorithms
- HPC(High Perfermence Compute)
- Proficient in literature review, computer programming and normal laboratory technologies.
- Able to develop deep learning model for image classification problem.
- Understand commonly used machine learning methods such as, kNN, SVM, K-means, and deep learning models such as, CNN, RNN and LSTM. Able to use these methods to solve problems.
- Familiar with mobile development: I am proficient in Android development platform (android Studio and eclipse for android) and tools (okhttp, xutils and eventbus); understand framework principles and design pattern such as singleton mode, adapter mode, factory method etc.
- Familiar with web development: I am skilled with eclipse and NetBeans for dynamic web sites development, proficient in using Web frameworks such as hibernate and struts.
- Familiar with wearable device development: I understand the Bluetooth low power (BLE 4.0) protocol stack. In addition, I am able to develop APPs base on Android Smart wearable device.
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6th place in ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019, ARP.,2018 -
National Postgraduate Application Design Competition(second prize), NOV., 2017 - First prize of Software Design Competition, ZZU, May., 2017
- President Scholarship, ZZU, Oct. , 2016
- Award of Pacemaker to Merit Student, Dec. , 2016
- Outstanding Graduates, ZZU, Apr. , 2015
- Excellent Student Cadre, ZZU, Jan., 2015
- Second prize of China College Student' Entrepreneurship Competition, 2014
- The First Prize Scholarship, Oct., 2014
- The First Prize Scholarship, Oct., 2013
- National Encouragement scholarship, Oct., 2011
play Table Tennis, Badminton