Rui Shu

11 papers and 503 indexed citations i.

Rui Shu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Rui Shu has authored 11 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Rui Shu’s work include Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Gaussian Processes and Bayesian Inference (3 papers). Rui Shu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Gaussian Processes and Bayesian Inference (3 papers). Rui Shu collaborates with scholars based in United States, China and India. Rui Shu's co-authors include Stefano Ermon, Mykel J. Kochenderfer, Shengjia Zhao, Aditya Grover and Hung Bui and has published in prestigious journals such as Nature and Clean Technologies and Environmental Policy.