Jeffrey Li
About
Jeffrey Li has authored 4 papers that have received a total of 254 indexed citations.
This includes 3 papers in Artificial Intelligence, 1 paper in Biomedical Engineering and 1 paper in Radiation. The topics of these papers are Machine Learning and Data Classification (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Jeffrey Li is often cited by papers focused on Machine Learning and Data Classification (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Adversarial Robustness in Machine Learning (2 papers) and collaborates with scholars based in United States and Canada. Jeffrey Li's co-authors include Ameet Talwalkar, Joon Sik Kim, Valerie Chen, Gregory Plumb and Suresh Narayanan and has published in prestigious journals such as Communications of the ACM, Journal of the American Medical Informatics Association and Journal of Synchrotron Radiation
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