Keyulu Xu

5 papers and 176 indexed citations i.

Keyulu Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Keyulu Xu has authored 5 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Keyulu Xu’s work include Advanced Graph Neural Networks (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning and ELM (1 paper). Keyulu Xu is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning and ELM (1 paper). Keyulu Xu collaborates with scholars based in United States, Japan and China. Keyulu Xu's co-authors include Stefanie Jegelka, Ken‐ichi Kawarabayashi, Tomohiro Sonobe, Chengtao Li, Yonglong Tian, Mozhi Zhang, Simon S. Du, Jordan Boyd‐Graber, Barnabás Póczos and Ruosong Wang and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.