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Kewei Tu
Kewei Tu
School of Information Science and Technology, ShanghaiTech University, China
Verified email at shanghaitech.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
1522014
Structured attentions for visual question answering
C Zhu, Y Zhao, S Huang, K Tu, Y Ma
International Conference on Computer Vision (ICCV), 2017
1102017
Unsupervised Neural Dependency Parsing
Y Jiang, W Han, K Tu
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016 …, 2016
552016
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
542005
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
492005
Automated concatenation of embeddings for structured prediction
X Wang, Y Jiang, N Bach, T Wang, Z Huang, F Huang, K Tu
arXiv preprint arXiv:2010.05006, 2020
452020
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
X Wang, J Huang, K Tu
ACL 2019, 2019
402019
Unambiguity regularization for unsupervised learning of probabilistic grammars
K Tu, V Honavar
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
362012
Unsupervised structure learning of stochastic and-or grammars
K Tu, M Pavlovskaia, SC Zhu
Advances in neural information processing systems 26, 2013
352013
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
B Pang, E Nijkamp, L Zhou, W Han, Y Liu, K Tu
ACL, 2020
342020
CRF Autoencoder for Unsupervised Dependency Parsing
J Cai, Y Jiang, K Tu
EMNLP 2017, 2017
342017
Semi-supervised structured prediction with neural CRF autoencoder
X Zhang, Y Jiang, H Peng, K Tu, D Goldwasser
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
292017
On the utility of curricula in unsupervised learning of probabilistic grammars
K Tu, V Honavar
Twenty-second international joint conference on artificial intelligence, 2011
292011
Improving named entity recognition by external context retrieving and cooperative learning
X Wang, Y Jiang, N Bach, T Wang, Z Huang, F Huang, K Tu
arXiv preprint arXiv:2105.03654, 2021
272021
Learning Bayesian network structures under incremental construction curricula
Y Zhao, Y Chen, K Tu, J Tian
Neurocomputing 258, 30-40, 2017
262017
Maximum A Posteriori Inference in Sum-Product Networks
J Mei, Y Jiang, K Tu
AAAI 2018, 2017
242017
Context-Dependent Sense Embedding
L Qiu, K Tu, Y Yu
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), 2016
232016
Unsupervised learning of probabilistic context-free grammar using iterative biclustering
K Tu, V Honavar
International Colloquium on Grammatical Inference, 224-237, 2008
222008
Adversarial attack and defense of structured prediction models
W Han, L Zhang, Y Jiang, K Tu
arXiv preprint arXiv:2010.01610, 2020
212020
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
X Wang, Y Jiang, N Bach, T Wang, F Huang, K Tu
ACL, 2020
212020
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Articles 1–20