Research Scientist
GenAI, Meta
cychuang _at_ meta _dot_ com
I am a research scientist at Meta GenAI. Prior to that, I obtained my Ph.D. from MIT EECS where I was advised by Prof. Antonio Torralba and Prof. Stefanie Jegelka. I am interested in generative AI and core machine learning.
The Inductive Bias of Flatness Regularization for Deep Matrix Factorization
Khashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank Reddi, Tengyu Ma, and Stefanie Jegelka
NeurIPS 2023 [paper]
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang, Antonio Torralba, and Stefanie Jegelka
ICML 2020 [paper] [project page]
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]
Sep 2023 - Present |
Research Scientist Generative AI, Meta |
May 2022 - Aug 2022 |
Research Intern Microsoft Research, New England |
Jun 2021 - Aug 2021 |
Research Intern Microsoft Research, Redmond |
Jul 2020 - Sep 2020 |
Research Intern IBM Research AI |
Sep 2018 - Aug 2023 |
R.A. Computer Science and Artificial Intelligence Lab, MIT |
Aug 2017 - Dec 2017 |
R.A. Machine Learning Lab, University of Toronto |