Joseph Wang

11 papers and 166 indexed citations i.

Joseph Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Joseph Wang has authored 11 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Joseph Wang’s work include Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (3 papers) and Machine Learning and Algorithms (2 papers). Joseph Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (3 papers) and Machine Learning and Algorithms (2 papers). Joseph Wang collaborates with scholars based in United States, Russia and China. Joseph Wang's co-authors include Omowunmi A. Sadik, Walker H. Land, Venkatesh Saligrama, Tolga Bolukbasi, Ofer Dekel, Yannan Bai, Ajay Joshi, Hanyi Ding, Thomas J. McCabe and Philip Barker and has published in prestigious journals such as Electroanalysis, IEEE Transactions on Multimedia and arXiv (Cornell University).