Ching-Yao Chuang
About
Ching-Yao Chuang has authored 6 papers that have received a total of 145 indexed citations.
This includes 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. The topics of these papers are Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Ching-Yao Chuang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Adversarial Robustness in Machine Learning (2 papers) and collaborates with scholars based in United States, United Kingdom and Taiwan. Ching-Yao Chuang's co-authors include Antonio Torralba, Stefanie Jegelka, Tseng-Hung Chen, P. Vajda and Yale Song and has published in prestigious journals such as and
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