Flood Sung

3 papers and 2.2k indexed citations i.

About

Flood Sung has authored 3 papers that have received a total of 2.2k indexed citations. This includes 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Cancer Research. The topics of these papers are Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers) and Geophysical Methods and Applications (1 paper). Flood Sung is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers) and Geophysical Methods and Applications (1 paper) and collaborates with scholars based in United Kingdom and China. Flood Sung's co-authors include Yongxin Yang, Timothy M. Hospedales, Philip H. S. Torr and Tao Xiang and has published in prestigious journals such as and

In The Last Decade

Rankless by CCL
2025