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Prof. Kewei Tu / 屠可伟 助理教授、研究员

Tel:  (021) 20685089
Email: tukw@@shanghaitech.edu.cn
Office: Room 1A-304B, SIST Building, No.393 Huaxia Middle Road, Pudong Area Shanghai
Website: http://sist.shanghaitech.edu.cn/faculty/tukw/

RESEARCH INTERESTS

  • Grammar Induction
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Knowledge Representation and Reasoning

BIOGRAPHY

Kewei Tu received a PhD degree in Computer Science from Iowa State University, USA in 2012. During 2012-2014, he worked as a postdoctoral researcher at the Vision, Cognition, Learning and Art Laboratory, Departments of Statistics and Computer Science of the University of California, Los Angeles, USA. He has been an Assistant Professor, PI with the School of Information Science and Technology at ShanghaiTech University, Shanghai, China since Feb 2014. His main research interests include machine learning of probabilistic grammars with applications in natural language processing and computer vision, and studying grammars as a general model of patterns for different aspects of human cognition.

SELECTED PUBLICATIONS

1. Shanbo Chu, Yong Jiang and Kewei Tu, "Latent Dependency Forest Models". In the Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), San Francisco, California, USA, February 4–9, 2017.
2. Lin Qiu, Kewei Tu and Yong Yu, "Context-Dependent Sense Embedding". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, Texas, USA, November 1-5, 2016.
3. Yong Jiang, Wenjuan Han and Kewei Tu, "Unsupervised Neural Dependency Parsing". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, Texas, USA, November 1-5, 2016.
4. Kewei Tu, "Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, Texas, USA, November 1-5, 2016.
5. Kewei Tu, "Stochastic And-Or Grammars: A Unified Framework and Logic Perspective". In the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, July 9-15, 2016.
6. Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, and Song-Chun Zhu, "Joint Video and Text Parsing for Understanding Events and Answering Queries". In IEEE MultiMedia, vol. 21, no. 2, pp. 42-70, 2014.
7. 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.
8. 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.
9. 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.
10. Kewei Tu and Vasant Honavar, "Unsupervised Learning of Probabilistic Context-Free Grammar Using Iterative Biclustering". In Proceedings of 9th International Colloquium on Grammatical Inference (ICGI 2008), LNCS 5278, St Malo, Brittany, France, September 22-24, 2008.