TEAM Associate professor Jianfei Yin

Jianfei Yin

Personal profile

Jianfei Yin is currently an associate professor of College of Computer Science & Software Engineering in Shenzhen University, China. He received his Ph.D degree from the Department of Computer Science and Technology of South China University of Technology. He once worked as a telecom system software engineer in Guangzhou Telecom & Post Equipment Co.,Ltd between 1998 and 2002. He is currently interesting in deep learning, reinforcement learning in finance, software engineering and numerical optimization, etc.

Education experience


The South China University of Technology, Guangzhou,     ChinaPh.D., Computer Applications Technology.


The Huazhong University of Science and Technology, Hubei, China     Master of Computer Applications Technology.


Nanchang UNIVERSITY, Nanchang, China    Bachelor of Industrial Electric Automation

work experience

Dec.2007-Present:  Associate Professor, College of Computer Science & Software Engineering, Shenzhen University. I am conducting research in the area of Data Mining, mainly covering unsupervised learning and knowledge discovery in high dimension data, non-linear dimension reduction, convex optimization method in learning algorithm design. Between 2007 and 2012, I had conducted research in the area of software engineering, including software architecture based on UML and MDA(Model-Driven Architecture), software testing in performance modeling and prediction, applications of convex optimization, such as wireless sensor network node localization algorithm based on SDP (Semi-Definite Programming).

Jul.2005-Dec.2007: Lecturer, College of Computer Science & Software Engineering, Shenzhen University. I conducted research in the area of software engineering, including metamodeling method based on UML and MDA (Model-Driven Architecture).

Jul.1996-Sep.2002: Software Engineer, Guangzhou Post and Telecom Equipment Co.,Ltd. I had programmed different communication software for the IC card telecom equipments. Most of them were based on the multi-thread and the COM technology. 

Research direction

Deep learning, reinforcement learning, software engineering and numerical optimization


Representative publications:

Jianfei Yin, Weifeng Li. Wireless Sensor Network Node Localization Algorithm Based on SDP and ESDP. The International Conference on Consumer Electronics, Communications and Networks (CECNet 2013).

Zhong Ming, Jianfei Yin. A Web Performance Testing Framework and Its mixed Performance Modeling Process. Journal of Computer Research and Development, 2010, 47(7): 1192-1200, (in Chinese).

Jianfei Yin, Zhong Ming, Zhijiao Xiao, Hui Wang. A Web Performance Modeling Process based on the Methodology of Learning From Data. In Proc of the 9th International Conference for Young Computer Scientists ICYCS, 2008, Zhangjiajie, IEEE Computer Society, 1285-1291

A Rewriting Logic Based MDA Concepts Framework, WSEAS TRANS. on INFO. SCI. & APP, June 2006.

Pattern Semantic Link: A Reusable pattern representation in MDA context,ICDCIT 2004, Springer-Verlag, LNCS 3347, Dec.2004.

A new dependable exchange protocol. Computer Communications 29(15): 2770-2780, 2006

Abuse-Free Item Exchange. ICCSA2005Springer LNCS 3483, 2005


Representative projects:

“The solution to results collection and release process of the projects”, which was found by NSFC, National Natural Science Foundation of China (Grant No. j0824304 ).

Honors and awards:

2009 Shenzhen Science and Technology Innovation Award (Ranked second)

Third prize in Guangdong Province Science and Technology Award (Ranked second)

2012 IBM Outstanding Teacher Award



Doctoral tutor

  • Prof. Zhexue Huang

    Prof. Zhexue Huang

    Guangdong Province leading talent Shenzhen University Chair Professor State In..
  • Prof. Zhong Ming

    Prof. Zhong Ming

    Shenzhen Pengcheng scholar Professor Secondary Shenzhen University professor E..
  • Prof. Xizhao Wang

    Prof. Xizhao Wang

    Prof. Xizhao Wang,Ph.D., ProfessorI,EEE Fellow,Springer magazine Machine Learnin..

Research project

0755-2653 0821