Ming-Hsuan Tu

I have experience in Deep learning/Machine learning, Hadoop distributed computing, Android App design and Web App design.


Experience

Android Application

Acer UEIP

Develop Acer Nidus which collects user experience on acer cellphone, analyzing the data by hadoop, and to improve the user experience

2014 - 2016

Web Application

Acer DADA

Develop a google app engine called Acer DADA, which is designed to subscribe and deploy app to acer device<Introduction> <NEWS>

2015 - 2016

Deep learning

Computer vision

Working on the computer vision program, including object detection and face recognition, and deploy the application with TensorRT or Intel OpenVINO to get acceralated

2017 -
AI 落地經驗
  • 台中歌劇院
  • 台灣歷史博物館

Education

Master of Computer Science and Engineering of National Sun Yat-sen University

Database System Lab
My Research Interest is Data Mining
2012 - 2014

Bachelor of Computer Science and Engineering of Yuan Ze University

2008 - 2012

Skills

Programming Languages
  • C/C++
  • Python
  • Java
  • Javascript
Tools used for deep learning
  • Caffe
  • Pytorch
  • TensorRT
  • OpenVINO

Side Project


Publication

  • Yang, Cheng-Zen, and Ming-Hsuan Tu. "LACTA: An Enhanced Automatic Software Categorization on the Native Code of Android Applications." Proceedings of the International MultiConference of Engineers and Computer Scientists. Vol. 1. 2012.<PDF>

  • Ye-In Chang, Jun-Hong Shen, Chia-En Li, Zih-Siang Chen and Ming-Hsuan Tu, 2019, Oct., “Mining Image Frequent Patterns based on a Frequent Pattern List in Image Databases”, accepted by The Journal of Supercomputing (SCI). <PDF>


Awards

  • Academic Excellence Award of Yuan Ze University
  • Certificate of Merit for The 2012 IAENG International Conference on Software