| Schema-guided multi-domain dialogue state tracking with graph attention neural networks L Chen, B Lv, C Wang, S Zhu, B Tan, K Yu Proceedings of the AAAI conference on artificial intelligence 34 (05), 7521-7528, 2020 | 149 | 2020 |
| LGESQL: line graph enhanced text-to-SQL model with mixed local and non-local relations R Cao, L Chen, Z Chen, Y Zhao, S Zhu, K Yu arXiv preprint arXiv:2106.01093, 2021 | 123 | 2021 |
| Encoder-decoder with focus-mechanism for sequence labelling based spoken language understanding S Zhu, K Yu 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 83 | 2017 |
| The SJTU system for dialog state tracking challenge 2 K Sun, L Chen, S Zhu, K Yu Proceedings of the 15th Annual Meeting of the Special Interest Group on …, 2014 | 66 | 2014 |
| Semantic parsing with dual learning R Cao, S Zhu, C Liu, J Li, K Yu arXiv preprint arXiv:1907.05343, 2019 | 64 | 2019 |
| Efficient context and schema fusion networks for multi-domain dialogue state tracking S Zhu, J Li, L Chen, K Yu arXiv preprint arXiv:2004.03386, 2020 | 60 | 2020 |
| Let: Linguistic knowledge enhanced graph transformer for chinese short text matching B Lyu, L Chen, S Zhu, K Yu Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13498 …, 2021 | 58 | 2021 |
| A generalized rule based tracker for dialogue state tracking K Sun, L Chen, S Zhu, K Yu 2014 IEEE Spoken Language Technology Workshop (SLT), 330-335, 2014 | 52 | 2014 |
| Neural graph matching networks for Chinese short text matching L Chen, Y Zhao, B Lyu, L Jin, Z Chen, S Zhu, K Yu Proceedings of the 58th annual meeting of the Association for Computational …, 2020 | 51 | 2020 |
| Unsupervised dual paraphrasing for two-stage semantic parsing R Cao, S Zhu, C Yang, C Liu, R Ma, Y Zhao, L Chen, K Yu arXiv preprint arXiv:2005.13485, 2020 | 46 | 2020 |
| ShadowGNN: Graph projection neural network for text-to-SQL parser Z Chen, L Chen, Y Zhao, R Cao, Z Xu, S Zhu, K Yu arXiv preprint arXiv:2104.04689, 2021 | 43 | 2021 |
| Dual learning for semi-supervised natural language understanding S Zhu, R Cao, K Yu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1936-1947, 2020 | 35 | 2020 |
| Data augmentation with atomic templates for spoken language understanding Z Zhao, S Zhu, K Yu arXiv preprint arXiv:1908.10770, 2019 | 29 | 2019 |
| Semantic parser enhancement for dialogue domain extension with little data S Zhu, L Chen, K Sun, D Zheng, K Yu 2014 IEEE Spoken Language Technology Workshop (SLT), 336-341, 2014 | 28 | 2014 |
| Line graph enhanced AMR-to-text generation with mix-order graph attention networks Y Zhao, L Chen, Z Chen, R Cao, S Zhu, K Yu Proceedings of the 58th Annual meeting of the association for computational …, 2020 | 26 | 2020 |
| Catslu: The 1st chinese audio-textual spoken language understanding challenge S Zhu, Z Zhao, T Zhao, C Zong, K Yu 2019 International Conference on Multimodal Interaction, 521-525, 2019 | 22 | 2019 |
| Robust spoken language understanding with unsupervised asr-error adaptation S Zhu, O Lan, K Yu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 22 | 2018 |
| Constrained markov bayesian polynomial for efficient dialogue state tracking K Yu, K Sun, L Chen, S Zhu IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015 | 21 | 2015 |
| Semi-supervised training using adversarial multi-task learning for spoken language understanding O Lan, S Zhu, K Yu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 18 | 2018 |
| Jointly encoding word confusion network and dialogue context with bert for spoken language understanding C Liu, S Zhu, Z Zhao, R Cao, L Chen, K Yu arXiv preprint arXiv:2005.11640, 2020 | 17 | 2020 |
Kai Yu（俞凯）Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
