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Prof. Kewei Tu / 屠可伟 助理教授、研究员

电 话:(021) 20685089
Email :tukw@@shanghaitech.edu.cn
办公室:上海市浦东新区华夏中路393号信息学院1A-304B室
个人主页: http://sist.shanghaitech.edu.cn/faculty/tukw/
专业方向: 计算机科学与技术
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研究领域

  • 自然语言处理
  • 机器学习
  • 知识表示
  • 计算机视觉
  • 人工智能


个人简历

屠可伟博士,上海科技大学信息科学与技术学院助理教授、博士生导师。于2002和2005年在上海交通大学计算机科学与工程系获学士和硕士学位;2012年于美国爱荷华州立大学获计算机科学博士学位;2012至2014年在美国加州大学洛杉矶分校统计系与计算机系从事博士后研究工作。研究方向包括自然语言处理、机器学习、知识表示等人工智能领域,目前侧重于研究文法的表示、学习与应用。
更多信息请参见他的个人主页: http://sist.shanghaitech.edu.cn/faculty/tukw/

代表性论文

1. Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, and Yi Ma, "Structured Attentions for Visual Question Answering". In the International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 22-29, 2017.

2. Yong Jiang, Wenjuan Han, and Kewei Tu, "Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 7–11, 2017.

3. Wenjuan Han, Yong Jiang, and Kewei Tu, "Dependency Grammar Induction with Neural Lexicalization and Big Training Data". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 7–11, 2017.

4. Jiong Cai, Yong Jiang, and Kewei Tu, "CRF Autoencoder for Unsupervised Dependency Parsing". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 7–11, 2017.

5. Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, and Dan Goldwasser, "Semi-supervised Structured Prediction with Neural CRF Autoencoder". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 7–11, 2017.

6. 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.

7. 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.

8. 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.

9. 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. 

10. 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.