Yongqin Xian
About
Yongqin Xian has authored 20 papers that have received a total of 1.9k indexed citations.
This includes 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Domain Adaptation and Few-Shot Learning (15 papers), Multimodal Machine Learning Applications (14 papers) and COVID-19 diagnosis using AI (5 papers). Yongqin Xian is often cited by papers focused on Domain Adaptation and Few-Shot Learning (15 papers), Multimodal Machine Learning Applications (14 papers) and COVID-19 diagnosis using AI (5 papers) and collaborates with scholars based in Germany, Switzerland and United States. Yongqin Xian's co-authors include Zeynep Akata, Bernt Schiele, Muhammad Ferjad Naeem, Massimiliano Mancini and Wenjia Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision
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