Kai-Wei Chang
About
Kai-Wei Chang has authored 139 papers that have received a total of 3.2k indexed citations.
This includes 123 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. The topics of these papers are Topic Modeling (90 papers), Natural Language Processing Techniques (62 papers) and Multimodal Machine Learning Applications (28 papers). Kai-Wei Chang is often cited by papers focused on Topic Modeling (90 papers), Natural Language Processing Techniques (62 papers) and Multimodal Machine Learning Applications (28 papers) and collaborates with scholars based in United States, China and United Kingdom. Kai-Wei Chang's co-authors include Nanyun Peng, Wasi Uddin Ahmad, Cho‐Jui Hsieh, Prem Natarajan and Kuan-Hao Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and American Journal of Public Health
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