Wenguang Wang’s Homepage

I’m Wenguang Wang, a Master in the Institute of Computer Science & Technology of Peking University (ICST), also a member of Character Shape Computing Lab (CSCL).

Education

• Master: 2017.09-2020.07 Peking University Computer Science
• Bachelor: 2013.09-2017.07 Sichuan University Electronic Engineering

Skills

• Skilled at c++, python, matlab, tensorflow.
• Familiar with machine learning and deep learning algorithms.

Project Experience

Chinese Stroke Extraction by Semantic Segmentation and Tabu Search

• Task: stroke extraction of Chinese character.
• Two improvements in original semantic segmentation models (Such as DeepLab v1, v3+):
  • Stroke list module: guide the model by priori information like stroke count.
  • Inference module: replace the background channel by binary images of the characters.
• Use tabu search algorithm for stroke ordering problem. We regard it as a Traveling Salesman Problem (TSP) and add stroke categories penalty term into the fitness function to improve the accuracy.
• Build a dataset containing 10 different fonts for stroke extraction (Pascal voc 2012 style).
• 300 times faster and 4.65% more accurate than the state-of-the-art.

Awards

1. National Scholarship (twice, 2014–2015&2015–2016)
2. Tanglixin Scholarship (60 people per year, 2016–2020)
3. Undergraduate Electronic Design Contest, the Second Prize (international)

Contact

wangwenguang at pku dot edu dot cn