Jiangchao Yao
About
Jiangchao Yao has authored 45 papers that have received a total of 982 indexed citations.
This includes 27 papers in Artificial Intelligence, 12 papers in Organic Chemistry and 11 papers in Computer Vision and Pattern Recognition. The topics of these papers are Recommender Systems and Techniques (7 papers), Machine Learning and Data Classification (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Jiangchao Yao is often cited by papers focused on Recommender Systems and Techniques (7 papers), Machine Learning and Data Classification (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers) and collaborates with scholars based in China, United States and Australia. Jiangchao Yao's co-authors include Ivor W. Tsang, Ya Zhang, Alan R. Katritzky, Bo Han and Hongxia Yang and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Medicinal Chemistry
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