| Exploiting cross-sentence context for neural machine translation L Wang, Z Tu, A Way, Q Liu arXiv preprint arXiv:1704.04347, 2017 | 114 | 2017 |
| UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation. L Tian, DF Wong, LS Chao, P Quaresma, F Oliveira, L Yi LREC, 1837-1842, 2014 | 68 | 2014 |
| Convolutional self-attention networks B Yang, L Wang, D Wong, LS Chao, Z Tu arXiv preprint arXiv:1904.03107, 2019 | 46 | 2019 |
| Modeling recurrence for transformer J Hao, X Wang, B Yang, L Wang, J Zhang, Z Tu arXiv preprint arXiv:1904.03092, 2019 | 39 | 2019 |
| A novel approach to dropped pronoun translation L Wang, Z Tu, X Zhang, H Li, A Way, Q Liu arXiv preprint arXiv:1604.06285, 2016 | 28 | 2016 |
| Self-attention with structural position representations X Wang, Z Tu, L Wang, S Shi arXiv preprint arXiv:1909.00383, 2019 | 26 | 2019 |
| A systematic comparison of data selection criteria for smt domain adaptation L Wang, DF Wong, LS Chao, Y Lu, J Xing The Scientific World Journal 2014, 2014 | 25 | 2014 |
| Dynamic layer aggregation for neural machine translation with routing-by-agreement ZY Dou, Z Tu, X Wang, L Wang, S Shi, T Zhang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 86-93, 2019 | 24 | 2019 |
| Translating pro-drop languages with reconstruction models L Wang, Z Tu, S Shi, T Zhang, Y Graham, Q Liu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 23 | 2018 |
| Assessing the ability of self-attention networks to learn word order B Yang, L Wang, DF Wong, LS Chao, Z Tu arXiv preprint arXiv:1906.00592, 2019 | 17 | 2019 |
| Automatic construction of discourse corpora for dialogue translation L Wang, X Zhang, Z Tu, A Way, Q Liu arXiv preprint arXiv:1605.06770, 2016 | 16 | 2016 |
| Towards understanding neural machine translation with word importance S He, Z Tu, X Wang, L Wang, MR Lyu, S Shi arXiv preprint arXiv:1909.00326, 2019 | 15 | 2019 |
| The dcu discourse parser for connective, argument identification and explicit sense classification L Wang, C Hokamp, T Okita, X Zhang, Q Liu Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015 | 15 | 2015 |
| UM-Checker: A Hybrid System for English Grammatical Error Correction J Xing, L Wang, DF Wong, LS Chao, X Zeng CoNLL-2013 34, 2013 | 15 | 2013 |
| Exploiting sentential context for neural machine translation X Wang, Z Tu, L Wang, S Shi arXiv preprint arXiv:1906.01268, 2019 | 14 | 2019 |
| Factored statistical machine translation for grammatical error correction Y Wang, L Wang, X Zeng, DF Wong, LS Chao, Y Lu Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014 | 14 | 2014 |
| A Joint Chinese Named Entity Recognition and Disambiguation System L Wang, S Li, DF Wong, LS Chao CLP 2012, 146, 2012 | 14 | 2012 |
| CRFs-Based Chinese Word Segmentation for Micro-Blog with Small-Scale Data L Wang, DF Wong, LS Chao, J Xing | 14 | 2012 |
| Learning to jointly translate and predict dropped pronouns with a shared reconstruction mechanism L Wang, Z Tu, A Way, Q Liu arXiv preprint arXiv:1810.06195, 2018 | 13 | 2018 |
| Linguistically-augmented perplexity-based data selection for language models A Toral, P Pecina, L Wang, J Van Genabith Computer Speech & Language 32 (1), 11-26, 2015 | 13 | 2015 |
Zhaopeng TuPrincipal Researcher, Tencent AI LabVerified email at tencent.com
