研究內容
- 基于統(tǒng)計文法模型的知識表示及其在不同領域的應用（包括自然語言處理、計算機視覺、多媒體、機器學習等）。統(tǒng)計文法模型的自動學習，側重于非監(jiān)督學習和弱監(jiān)督學習。 3. 機器學習、人工智能等領域的其他問題
代表論文
- Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe and Song-Chun Zhu, "Joint Video and Text Parsing for Understanding Events and Answering Queires ". To appear in IEEE MultiMedia.Kewei Tu, Maria Pavlovskaia and Song-Chun Zhu, "Unsupervised Structure Learning of Stochastic And-Or Grammars". In Advances in Neural Information Processing Systems 26 (NIPS 2013), Lake Tahoe, Nevada, USA, December 5-10, 2013.Kewei Tu and Vasant Honavar, "Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars". In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL 2012), Jeju, Korea, July 12-14, 2012.Kewei Tu and Vasant Honavar, "On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars". In Proceedings of the Twenty-second International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Catalonia, Spain, July 16-22, 2011.
