| Learning deep transformer models for machine translation Q Wang, B Li, T Xiao, J Zhu, C Li, DF Wong, LS Chao Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 872 | 2019 |
| Improved differentiable architecture search for language modeling and named entity recognition Y Jiang, C Hu, T Xiao, C Zhang, J Zhu Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 120 | 2019 |
| NiuTrans: an open source toolkit for phrase-based and syntax-based machine translation T Xiao, J Zhu, H Zhang, Q Li Proceedings of the ACL 2012 System Demonstrations, 19-24, 2012 | 115 | 2012 |
| Does multi-encoder help? A case study on context-aware neural machine translation B Li, H Liu, Z Wang, Y Jiang, T Xiao, J Zhu, T Liu, C Li arXiv preprint arXiv:2005.03393, 2020 | 84 | 2020 |
| Document-level consistency verification in machine translation T Xiao, J Zhu, S Yao, H Zhang Proceedings of Machine Translation Summit XIII: Papers, 2011 | 74 | 2011 |
| Stacked acoustic-and-textual encoding: Integrating the pre-trained models into speech translation encoders C Xu, B Hu, Y Li, Y Zhang, Q Ju, T Xiao, J Zhu arXiv preprint arXiv:2105.05752, 2021 | 72 | 2021 |
| Sharing attention weights for fast transformer T Xiao, Y Li, J Zhu, Z Yu, T Liu Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 64 | 2019 |
| On vision features in multimodal machine translation B Li, C Lv, Z Zhou, T Zhou, T Xiao, A Ma, JB Zhu arXiv preprint arXiv:2203.09173, 2022 | 63 | 2022 |
| Bagging and boosting statistical machine translation systems T Xiao, J Zhu, T Liu Artificial Intelligence 195, 496-527, 2013 | 61 | 2013 |
| Multi-layer representation fusion for neural machine translation Q Wang, F Li, T Xiao, Y Li, Y Li, J Zhu Proceedings of the 27th International Conference on Computational Linguistics, 2018 | 59 | 2018 |
| The NiuTrans machine translation systems for WMT19 B Li, Y Li, C Xu, Y Lin, J Liu, H Liu, Z Wang, Y Zhang, N Xu, Z Wang, ... Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 54 | 2019 |
| Shallow-to-deep training for neural machine translation B Li, Z Wang, H Liu, Y Jiang, Q Du, T Xiao, H Wang, J Zhu arXiv preprint arXiv:2010.03737, 2020 | 48 | 2020 |
| Response inhibition, preattentive processing, and sex difference in young children: an event-related potential study T Liu, T Xiao, J Shi Neuroreport 24 (3), 126-130, 2013 | 48 | 2013 |
| Towards differentially private text representations L Lyu, Y Li, X He, T Xiao Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 47 | 2020 |
| Shared-private bilingual word embeddings for neural machine translation X Liu, DF Wong, Y Liu, LS Chao, T Xiao, J Zhu arXiv preprint arXiv:1906.03100, 2019 | 47 | 2019 |
| Towards fully 8-bit integer inference for the transformer model Y Lin, Y Li, T Liu, T Xiao, T Liu, J Zhu arXiv preprint arXiv:2009.08034, 2020 | 41 | 2020 |
| Conflict control of children with different intellectual levels: an ERP study T Liu, T Xiao, J Shi, D Zhao, J Liu Neuroscience Letters 490 (2), 101-106, 2011 | 41 | 2011 |
| Learning light-weight translation models from deep transformer B Li, Z Wang, H Liu, Q Du, T Xiao, C Zhang, J Zhu Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13217 …, 2021 | 38 | 2021 |
| Efficient prompting methods for large language models: A survey K Chang, S Xu, C Wang, Y Luo, X Liu, T Xiao, J Zhu arXiv preprint arXiv:2404.01077, 2024 | 37 | 2024 |
| Sensory gating, inhibition control and child intelligence: an event-related potentials study T Liu, T Xiao, J Shi, L Zhao Neuroscience 189, 250-257, 2011 | 36 | 2011 |
Jingbo ZhuNortheastern University, ChinaVerified email at mail.neu.edu.cn
