| Achieving human parity on automatic chinese to english news translation H Hassan, A Aue, C Chen, V Chowdhary, J Clark, C Federmann, X Huang, ... arXiv preprint arXiv:1803.05567, 2018 | 157 | 2018 |
| A recursive recurrent neural network for statistical machine translation S Liu, N Yang, M Li, M Zhou | 137 | 2014 |
| Learning entity representation for entity disambiguation Z He, S Liu, M Li, M Zhou, L Zhang, H Wang Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 112 | 2013 |
| Bilingually-constrained phrase embeddings for machine translation J Zhang, S Liu, M Li, M Zhou, C Zong | 107 | 2014 |
| Hierarchical recurrent neural network for document modeling R Lin, S Liu, M Yang, M Li, M Zhou, S Li Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 105 | 2015 |
| Word alignment modeling with context dependent deep neural network N Yang, S Liu, M Li, M Zhou, N Yu Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 70 | 2013 |
| Diagnostic evaluation of machine translation systems using automatically constructed linguistic check-points M Zhou, B Wang, S Liu, M Li, D Zhang, T Zhao Proceedings of the 22nd International Conference on Computational …, 2008 | 47 | 2008 |
| A statistical parsing framework for sentiment classification L Dong, F Wei, S Liu, M Zhou, K Xu Computational Linguistics 41 (2), 293-336, 2015 | 43 | 2015 |
| Close to human quality TTS with transformer N Li, S Liu, Y Liu, S Zhao, M Liu, M Zhou arXiv preprint arXiv:1809.08895, 2018 | 41 | 2018 |
| Implicit distortion and fertility models for attention-based encoder-decoder NMT model S Feng, S Liu, M Li, M Zhou arXiv preprint arXiv:1601.03317, 2016 | 27 | 2016 |
| Joint training for neural machine translation models with monolingual data Z Zhang, S Liu, M Li, M Zhou, E Chen Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 25 | 2018 |
| Efficient collective entity linking with stacking Z He, S Liu, Y Song, M Li, M Zhou, H Wang Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 24 | 2013 |
| Improving attention modeling with implicit distortion and fertility for machine translation S Feng, S Liu, N Yang, M Li, M Zhou, K Zhu Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 23 | 2016 |
| Neural speech synthesis with transformer network N Li, S Liu, Y Liu, S Zhao, M Liu Proceedings of the AAAI Conference on Artificial Intelligence 33, 6706-6713, 2019 | 21 | 2019 |
| Style transfer as unsupervised machine translation Z Zhang, S Ren, S Liu, J Wang, P Chen, M Li, M Zhou, E Chen arXiv preprint arXiv:1808.07894, 2018 | 21 | 2018 |
| Learning topic representation for smt with neural networks L Cui, D Zhang, S Liu, Q Chen, M Li, M Zhou, M Yang Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 19 | 2014 |
| Bilingual data cleaning for smt using graph-based random walk L Cui, D Zhang, S Liu, M Li, M Zhou Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 17 | 2013 |
| Knowledge-based semantic embedding for machine translation C Shi, S Liu, S Ren, S Feng, M Li, M Zhou, X Sun, H Wang Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 16 | 2016 |
| Regularizing neural machine translation by target-bidirectional agreement Z Zhang, S Wu, S Liu, M Li, M Zhou, T Xu Proceedings of the AAAI Conference on Artificial Intelligence 33, 443-450, 2019 | 14 | 2019 |
| Mind the gap: Machine translation by minimizing the semantic gap in embedding space J Zhang, S Liu, M Li, M Zhou, C Zong Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 | 14 | 2014 |
Zhirui Zhang (张志锐)University of Science and Technology of ChinaDirección de correo verificada de mail.ustc.edu.cn
