Kewei Tu
Kewei Tu
School of Information Science and Technology, ShanghaiTech University, China
Verified email at - Homepage
Cited by
Cited by
Joint video and text parsing for understanding events and answering queries
K Tu, M Meng, MW Lee, TE Choe, SC Zhu
IEEE MultiMedia 21 (2), 42-70, 2014
Structured attentions for visual question answering
C Zhu, Y Zhao, S Huang, K Tu, Y Ma
International Conference on Computer Vision (ICCV), 2017
Towards imaging large-scale ontologies for quick understanding and analysis
KW Tu, M Xiong, L Zhang, HP Zhu, J Zhang, Y Yu
International Semantic Web Conference, 702-715, 2005
CMC: Combining multiple schema-matching strategies based on credibility prediction
KW Tu, Y Yu
International Conference on Database Systems for Advanced Applications, 888-893, 2005
Unsupervised Neural Dependency Parsing
Y Jiang, W Han, K Tu
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016 …, 2016
Unambiguity regularization for unsupervised learning of probabilistic grammars
K Tu, V Honavar
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
Unsupervised Structure Learning of Stochastic And-Or Grammars.
K Tu, M Pavlovskaia, SC Zhu
NIPS 3, 4, 2013
On the utility of curricula in unsupervised learning of probabilistic grammars
K Tu, V Honavar
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
CRF Autoencoder for Unsupervised Dependency Parsing
J Cai, Y Jiang, K Tu
EMNLP 2017, 2017
Unsupervised learning of probabilistic context-free grammar using iterative biclustering
K Tu, V Honavar
International Colloquium on Grammatical Inference, 224-237, 2008
Semi-supervised structured prediction with neural CRF autoencoder
X Zhang, Y Jiang, H Peng, K Tu, D Goldwasser
Association for Computational Linguistics (ACL), 2017
Context-Dependent Sense Embedding
L Qiu, K Tu, Y Yu
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), 2016
Learning Bayesian network structures under incremental construction curricula
Y Zhao, Y Chen, K Tu, J Tian
Neurocomputing 258, 30-40, 2017
Maximum A Posteriori Inference in Sum-Product Networks
J Mei, Y Jiang, K Tu
AAAI 2018, 2017
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
X Wang, J Huang, K Tu
ACL 2019, 2019
ORIENT: Integrate ontology engineering into industry tooling environment
L Zhang, Y Yu, J Lu, CX Lin, KW Tu, MC Guo, Z Zhang, GT Xie, Z Su, ...
International Semantic Web Conference, 823-837, 2004
An approach to RDF (S) query, manipulation and inference on databases
J Lu, Y Yu, K Tu, C Lin, L Zhang
International Conference on Web-Age Information Management, 172-183, 2005
Dependency grammar induction with neural lexicalization and big training data
W Han, Y Jiang, K Tu
EMNLP 2017, 2017
Language style transfer from sentences with arbitrary unknown styles
Y Zhao, W Bi, D Cai, X Liu, K Tu, S Shi
arXiv preprint arXiv:1808.04071, 2018
Exemplar-based robust coherent biclustering
VH Kewei Tu, Xixiu Ouyang, Dingyi Han, Yong Yu
the 11th SIAM International Conference on Data Mining (SDM2011), 2011
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