Melody Y. Guan

9 papers and 661 indexed citations i.

Melody Y. Guan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Surgery. According to data from OpenAlex, Melody Y. Guan has authored 9 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Surgery. Recurrent topics in Melody Y. Guan’s work include Machine Learning and Algorithms (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Machine Learning and Data Classification (2 papers). Melody Y. Guan is often cited by papers focused on Machine Learning and Algorithms (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Machine Learning and Data Classification (2 papers). Melody Y. Guan collaborates with scholars based in United States. Melody Y. Guan's co-authors include Hieu Pham, Barret Zoph, Quoc V. Le, Jeff Dean, Varun Gulshan, Geoffrey E. Hinton, Andrew M. Dai, Heinrich Jiang, Maya R. Gupta and Been Kim and has published in prestigious journals such as JAMA Surgery, arXiv (Cornell University) and International Conference on Machine Learning.