| Lipschitz constrained parameter initialization for deep transformers H Xu, Q Liu, J van Genabith, D Xiong, J Zhang arXiv preprint arXiv:1911.03179, 2019 | 24* | 2019 |
| CMeIE: Construction and evaluation of Chinese medical information extraction dataset T Guan, H Zan, X Zhou, H Xu, K Zhang Natural Language Processing and Chinese Computing: 9th CCF International …, 2020 | 20 | 2020 |
| Efficient context-aware neural machine translation with layer-wise weighting and input-aware gating H Xu, D Xiong, J Van Genabith, Q Liu Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 16 | 2021 |
| Neutron: An implementation of the Transformer translation model and its variants H Xu, Q Liu arXiv preprint arXiv:1903.07402, 2019 | 15 | 2019 |
| Learning source phrase representations for neural machine translation H Xu, J van Genabith, D Xiong, Q Liu, J Zhang arXiv preprint arXiv:2006.14405, 2020 | 10 | 2020 |
| Usaar-dfki–the transference architecture for english–german automatic post-editing S Pal, H Xu, N Herbig, A Krüger, J van Genabith Proceedings of the Fourth Conference on Machine Translation (Volume 3 …, 2019 | 9 | 2019 |
| Multi-head highly parallelized LSTM decoder for neural machine translation H Xu, Q Liu, J van Genabith, D Xiong, M Zhang Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 8 | 2021 |
| Dynamically adjusting transformer batch size by monitoring gradient direction change H Xu, J van Genabith, D Xiong, Q Liu arXiv preprint arXiv:2005.02008, 2020 | 8 | 2020 |
| UdS submission for the WMT 19 automatic post-editing task H Xu, Q Liu, J van Genabith arXiv preprint arXiv:1908.03402, 2019 | 5 | 2019 |
| Self-supervised curriculum learning for spelling error correction Z Gan, H Xu, H Zan Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 4 | 2021 |
| Modeling task-aware MIMO cardinality for efficient multilingual neural machine translation H Xu, Q Liu, J van Genabith, D Xiong Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 4 | 2021 |
| Transformer with depth-wise lstm H Xu, Q Liu, D Xiong, J van Genabith arXiv preprint arXiv:2007.06257, 2020 | 4 | 2020 |
| Probing word translations in the transformer and trading decoder for encoder layers H Xu, J van Genabith, Q Liu, D Xiong arXiv preprint arXiv:2003.09586, 2020 | 4 | 2020 |
| 基于神经网络的语义选择限制知识自动获取 贾玉祥， 许鸿飞， 昝红英 中文信息学报 31 (1), 155-161, 2017 | 4 | 2017 |
| Analyzing word translation of transformer layers H Xu, J van Genabith, D Xiong, Q Liu arXiv preprint arXiv:2003.09586, 2020 | 3 | 2020 |
| Improving Chinese-English neural machine translation with detected usages of function words K Zhang, H Xu, D Xiong, Q Liu, H Zan Natural Language Processing and Chinese Computing: 6th CCF International …, 2018 | 3 | 2018 |
| 助词 “的” 用法自动识别研究 Q Liu, K Zhang, H Xu, S Yu, H Zan Beijing Da Xue Xue Bao 54 (3), 466-474, 2018 | 3 | 2018 |
| The transference architecture for automatic post-editing S Pal, H Xu, N Herbig, SK Naskar, A Krüger, J van Genabith arXiv preprint arXiv:1908.06151, 2019 | 2 | 2019 |
| ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation W Hao, H Xu, D Xiong, H Zan, L Mu Proceedings of the 29th International Conference on Computational …, 2022 | 1 | 2022 |
| Transformer-based NMT: modeling, training and implementation H Xu Saarländische Universitäts-und Landesbibliothek, 2021 | 1 | 2021 |
Josef van GenabithDFKI German Research Center for Artificial IntelligenceVerified email at dfki.de
