Po-Wei Wang
About
Po-Wei Wang has authored 8 papers that have received a total of 25 indexed citations.
This includes 4 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Computer Networks and Communications. The topics of these papers are Topic Modeling (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Algorithms and Data Compression (1 paper). Po-Wei Wang is often cited by papers focused on Topic Modeling (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Algorithms and Data Compression (1 paper) and collaborates with scholars based in United States, Germany and Taiwan. Po-Wei Wang's co-authors include J. Zico Kolter, Cheng‐Lun Hsin, Daria Stepanova, X.-G. Xia and Ching-pei Lee and has published in prestigious journals such as Journal of Machine Learning Research and MRS Communications
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