Yu-Ting Chang

4 papers and 237 indexed citations i.

Yu-Ting Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yu-Ting Chang has authored 4 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Yu-Ting Chang’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Yu-Ting Chang is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Yu-Ting Chang collaborates with scholars based in United States, Ireland and China. Yu-Ting Chang's co-authors include Robinson Piramuthu, Yi–Hsuan Tsai, Qiaosong Wang, Ming–Hsuan Yang, Wei-Chih Hung, Shintami Chusnul Hidayati, Kai‐Lung Hua, Jianlong Fu, Wen-Huang Cheng and Cheng-Chun Hsu and has published in prestigious journals such as Journal of Aerospace Technology and Management, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).