Brian Cheung

22 papers and 1.5k indexed citations i.

Brian Cheung has authored 22 papers that have received a total of 1.5k indexed citations. This includes 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. The topics of these papers are Target Tracking and Data Fusion in Sensor Networks (7 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Brian Cheung is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (7 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers) and collaborates with scholars based in United States, Australia and China. Brian Cheung's co-authors include Samuel J. Davey, Jascha Sohl‐Dickstein, F. Xavier Castellanos, R. Cameron Craddock and Michael P. Milham and has published in prestigious journals such as NeuroImage, IEEE Transactions on Aerospace and Electronic Systems and Journal of Vision