Youngjune Gwon
About
Youngjune Gwon has authored 28 papers that have received a total of 487 indexed citations.
This includes 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. The topics of these papers are Natural Language Processing Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Topic Modeling (5 papers). Youngjune Gwon is often cited by papers focused on Natural Language Processing Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Topic Modeling (5 papers) and collaborates with scholars based in United States, South Korea and United Kingdom. Youngjune Gwon's co-authors include H. T. Kung, H. T. Kung, Miriam Cha, Seung-Jai Min and Yonghyun Jeong and has published in prestigious journals such as IEEE Transactions on Cognitive Communications and Networking
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