Eric Wong

14 papers and 149 indexed citations i.

Eric Wong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Eric Wong has authored 14 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Health Information Management. Recurrent topics in Eric Wong’s work include Adversarial Robustness in Machine Learning (8 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Eric Wong is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Eric Wong collaborates with scholars based in United States, Germany and India. Eric Wong's co-authors include J. Zico Kolter, Frank R. Schmidt, Jan Hendrik Metzen, Hadi Salman, Aleksander Mądry, Peter J. Haug, Stanley M. Huff, T. Allan Pryor, H. R. Warner and Marianna Apidianaki and has published in prestigious journals such as Academic Medicine, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and PubMed.