| 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 | 316 | 2018 |
| 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 (01), 6706-6713, 2019 | 181* | 2019 |
| A recursive recurrent neural network for statistical machine translation S Liu, N Yang, M Li, M Zhou | 164 | 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 | 147 | 2013 |
| 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 | 134 | 2015 |
| Bilingually-constrained phrase embeddings for machine translation J Zhang, S Liu, M Li, M Zhou, C Zong Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 117 | 2014 |
| 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 | 88 | 2013 |
| A statistical parsing framework for sentiment classification L Dong, F Wei, S Liu, M Zhou, K Xu Computational Linguistics 41 (2), 293-336, 2015 | 60 | 2015 |
| Joint training for neural machine translation models with monolingual data Z Zhang, S Liu, M Li, M Zhou, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 51 | 2018 |
| 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 | 49 | 2008 |
| 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 | 48 | 2018 |
| Unsupervised neural machine translation with smt as posterior regularization S Ren, Z Zhang, S Liu, M Zhou, S Ma Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 241-248, 2019 | 36 | 2019 |
| 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 | 35 | 2016 |
| 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 | 31 | 2016 |
| 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 | 29 | 2013 |
| Learning to collaborate for question answering and asking D Tang, N Duan, Z Yan, Z Zhang, Y Sun, S Liu, Y Lv, M Zhou Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 25 | 2018 |
| 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 | 25 | 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 (01), 443-450, 2019 | 24 | 2019 |
| 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 | 21 | 2013 |
| 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 | 20 | 2014 |
Ming Zhou (周明)Assistant Managing Director at Microsoft Research Asia, ACL president (2019), VP of CCF(2020-2024)Dirección de correo verificada de microsoft.com
