Carole-Jean Wu
About
Carole-Jean Wu has authored 39 papers that have received a total of 381 indexed citations.
This includes 20 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 15 papers in Electrical and Electronic Engineering. The topics of these papers are Parallel Computing and Optimization Techniques (12 papers), Recommender Systems and Techniques (11 papers) and Stochastic Gradient Optimization Techniques (9 papers). Carole-Jean Wu is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Recommender Systems and Techniques (11 papers) and Stochastic Gradient Optimization Techniques (9 papers) and collaborates with scholars based in United States, Israel and South Korea. Carole-Jean Wu's co-authors include David Brooks, Gu-Yeon Wei, Udit Gupta, Hsien-Hsin S. Lee and Trevor Mudge and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Mobile Computing and IEEE Micro
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