Shengbo Guo
About
Shengbo Guo has authored 6 papers that have received a total of 112 indexed citations.
This includes 6 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Signal Processing. The topics of these papers are Topic Modeling (2 papers), Data Management and Algorithms (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Shengbo Guo is often cited by papers focused on Topic Modeling (2 papers), Data Management and Algorithms (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper) and collaborates with scholars based in United States, France and Australia. Shengbo Guo's co-authors include Scott Sanner, Cédric Archambeau, Slobodan Vučetić, Boris Chidlovskii and Guillaume Bouchard and has published in prestigious journals such as Machine Learning
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