De-An Huang

DE-AN HUANG

Hometown: Taipei, Taiwan
Stanford University, Palo Alto

Student Page:
 http://ai.stanford.edu/~dahuang/

Research:  De-An’s research goal is to develop learning algorithms that enable robots to perform real-world tasks from video demonstrations. In particular, he has been working on video understanding models that can extract executable representations from video demonstrations and online instructional videos.

Bio: 
De-An is a 4th year CS PhD student at Stanford working with Fei-Fei Li and Juan Carlos Niebles. Before coming to Stanford, he has worked with Kris Kitani during his masters at Carnegie Mellon University, and Yu-Chiang Frank Wang during his undergrad at National Taiwan University. He has interned at Facebook Applied Machine Learning, Microsoft Research Redmond, and Disney Research Pittsburgh.