I am a first year Ph.D. student in CSAIL of MIT EECS, under the supervision of Prof. Antonio Torralba and Prof. Stefanie Jegelka. Previously I worked with Prof. Sanja Fidler as a visiting student at University of Toronto and Prof. Min Sun as an undergraduate researcher at National Tsing Hua University. My research mainly focus on deep learning and its applications in Machine Learning and Computer Vision. In particular, I am interested in neural networks, optimization, Bayesian inference, generative models, and reinforcement learning.

Sep 18 - Present

Aug 17 - Dec 17

Apr 16 - May 17

Jun 16 - Sep 16

Sep13 - Jun 17

research

Learning to Act Properly: Predicting and Explaining Affordances from Images
Ching-Yao Chuang, Jiaman Li, Antonio Torralba and Sanja Fidler
CVPR 2018 [arxiv] [project page]

Winner of THOR Challenge 2017 using Deep Reinforcement Learning
Ching-Yao Chuang, Min Sun and Sanja Fidler
CVPR 2017 Workshop on Visual Understanding Across Modalities [challenge link]

Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner
Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan-Ting Hsu, Jianlong Fu and Min Sun
ICCV 2017 [arXiv] [project page]

Leveraging Video Descriptions to Learn Video Question Answering
Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles and Min Sun
AAAI 2017 [arXiv] [project page] [dataset]

research and work experience

Aug 2017 - Present Machine Learning Lab, UofT, Prof. Sanja Fidler
Machine learning and Computer Vision
July 2015 - Aug 2017 Vision Science Lab, NTHU, Prof. Min Sun
Machine learning and Computer Vision
April 2016 - May 2017 Industrial Technology Research Institute, Dr. Dung-Chan Tsai
Research Internship about Deep Reinforcement Learning and Robotics
June 2016 - Sept 2016 Umbo CV Inc., Dr. Ping-Lin Chang
Research Internship about Visual Question Answering

teaching

Spring 2017 TA, Signals and Systems, National Tsing Hua University
Fall 2016 Lecturer, Deep Reinforcement Learning Tutorial, Industrial Technology Research Institute


Source stolen from here