Shengjie Wang
About
Shengjie Wang has authored 30 papers that have received a total of 220 indexed citations.
This includes 20 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. The topics of these papers are Advanced Neural Network Applications (5 papers), Machine Learning and Data Classification (4 papers) and Machine Learning and Algorithms (3 papers). Shengjie Wang is often cited by papers focused on Advanced Neural Network Applications (5 papers), Machine Learning and Data Classification (4 papers) and Machine Learning and Algorithms (3 papers) and collaborates with scholars based in United States, China and United Kingdom. Shengjie Wang's co-authors include Tianyi Zhou, Jeff Bilmes, Gregor Urban, Rich Caruana and Krzysztof J. Geras and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Vehicular Technology and International Journal of Forecasting.
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