I’m a mater student in the Key Laboratory of Intelligent Information Processing.
My research interest focuses on Deep Learning, especially on Text Detection.
You can find my CV here.


Master, Sept. 2015-Now

Institute of Computing Technology, the Chinese Academy of Sciences
Majoring in Computer Science
Research interest is Text Detection

Bachalor, Sept. 2011-Jun. 2015

Shandong University
Major in Electronic Engineering

Experience & Projects

GENISAMA Company (A startup company)

Intern in product development

  • Helped to establish the branch office of development in Shenzhen
  • Worked with a team to develop a new type of auto pilot glasses for the blind based on binocular cameras and DN (Developmental Network)

News Retrieval System, Oct. 2015 - Nov. 2015

Project of practice

  • Built our own spider to crawl 200K news on Internet
  • Used K-means to cluster the data
  • Displayed the news on a webpage based on reverse index

RenRen Company, Jun. 2015-Sept. 2015

Intern in product development

  • Worked on a project to build an image quality assessment system based on a paper
  • Built a new CNN model with caffe framework to classify amounts of images in the new product called Youpai

Engineering Training Center, 2012.10 - 2013.05

Teacher assistant and innovation competition participant
Built an intelligent bus system with automatic station broadcasting and communication with center control
Severed as assistant of innovation competition


Familiar: Python, MATLAB, C
Basic: C++, Java


Received “Coursera GTC Statement of Accomplishment” digital badge:

AIML (Artificial Intelligence Machine Learning) International Contest First Place
Cum laude graduate of Shandong University
First Class Student Scholarship
National motivational scholarships
National Undergraduate Electronic Design Contest Second Prize (National level)
Mechanical and electrical innovation Competition Provincial Grand Prize
Shandong University Innovation Competition First Prize (Trice)
Shandong University Innovation Competition Second Prize (Once)