Ching-Yao Chuang

PhD Student
CSAIL
Electrical Engineering and Computer Science
Massachusetts Institute of Technology
cychuang _at_ mit _dot_ edu


Curriculum vitæ

I am a Ph.D. student in CSAIL of MIT EECS, under the supervision of Prof. Stefanie Jegelka and Prof. Antonio Torralba. 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, Taiwan. My research mainly focus on deep learning and its applications in Machine Learning and Computer Vision. In particular, I am interested in representation learning, unsupervised learning, and trustworthy machine learning.

Accessibility

Publications

Fair Mixup: Fairness via Interpolation
Ching-Yao Chuang, Youssef Mroueh
ICLR 2021 [paper] [code]

Contrastive Learning with Hard Negative Samples
Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, and Stefanie Jegelka
ICLR 2021 [paper] [code]

Debiased Contrastive Learning
Ching-Yao Chuang, Joshua Robinson, Lin Yen-Chen, Antonio Torralba, and Stefanie Jegelka
NeurIPS 2020 Spotlight [paper] [code]

Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang, Antonio Torralba, and Stefanie Jegelka
ICML 2020 [paper] [project page]

The Role of Embedding Complexity in Domain-invariant Representations
Ching-Yao Chuang, Antonio Torralba, and Stefanie Jegelka
ICML 2019 AMTL Workshop [paper] [code]

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

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 [paper] [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 [paper] [project page] [dataset]

work experience

Sep 2018 - Present R.A. Computer Science and Artificial Intelligence Lab, MIT
Advisor: Prof. Antonio Torralba & Prof. Stefanie Jegelka
Jul 2020 - Sep 2020 Research Intern IBM Research AI
Advisor: Youssef Mroueh
Aug 2017 - Dec 2017 R.A. Machine Learning Lab, UofT
Advisor: Prof. Sanja Fidler
July 2015 - Aug 2017 R.A. Vision Science Lab, NTHU
Advisor Prof. Min Sun
April 2016 - May 2017 Intern Industrial Technology Research Institute
Advisor: Dr. Dung-Chan Tsai
June 2016 - Sept 2016 Intern Umbo CV Inc.
Advisor: Dr. Ping-Lin Chang
2018 "Semper Fidelis" ROC Marine Corps