Joseph Hassoun

22 total papers · 449 total citations
4 papers, 31 citations indexed

Joseph Hassoun is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Joseph Hassoun has authored 4 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Networks and Communications and 2 papers in Hardware and Architecture. Recurrent topics in Joseph Hassoun’s work include Advanced Neural Network Applications (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Joseph Hassoun is often cited by papers focused on Advanced Neural Network Applications (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Joseph Hassoun collaborates with scholars based in United States. Joseph Hassoun's co-authors include Sehoon Kim, Sheng Shen, Amir Gholami, Woosuk Kwon, Kurt Keutzer, David Thorsley, Jun Fang, Hamzah Abdel-Aziz, Dong Dai and Ling Li and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Systems Architecture and arXiv (Cornell University).