Lijun Wu
Lijun Wu
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
2432018
Deliberation networks: Sequence generation beyond one-pass decoding
Y Xia, F Tian, L Wu, J Lin, T Qin, N Yu, TY Liu
Advances in Neural Information Processing Systems, 1784-1794, 2017
872017
Adversarial neural machine translation
L Wu, Y Xia, L Zhao, F Tian, T Qin, J Lai, TY Liu
ACML-2018, 2018
712018
A study of reinforcement learning for neural machine translation
L Wu, F Tian, T Qin, J Lai, TY Liu
EMNLP-2018, 2018
462018
Learning to teach with dynamic loss functions
L Wu, F Tian, Y Xia, Y Fan, T Qin, L Jian-Huang, TY Liu
Advances in Neural Information Processing Systems, 6466-6477, 2018
262018
Efficient sequence learning with group recurrent networks
F Gao, L Wu, L Zhao, T Qin, X Cheng, TY Liu
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
142018
Beyond error propagation in neural machine translation: Characteristics of language also matter
L Wu, X Tan, D He, F Tian, T Qin, J Lai, TY Liu
EMNLP-2018, 2018
132018
Soft contextual data augmentation for neural machine translation
F Gao, J Zhu, L Wu, Y Xia, T Qin, X Cheng, W Zhou, TY Liu
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
12*2019
Word attention for sequence to sequence text understanding
L Wu, F Tian, L Zhao, J Lai, TY Liu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
102018
Sequence Prediction with Unlabeled Data by Reward Function Learning.
L Wu, L Zhao, T Qin, J Lai, TY Liu
IJCAI, 3098-3104, 2017
102017
Incorporating bert into neural machine translation
J Zhu, Y Xia, L Wu, D He, T Qin, W Zhou, H Li, TY Liu
ICLR-2020, 2020
92020
Depth growing for neural machine translation
L Wu, Y Wang, Y Xia, F Tian, F Gao, T Qin, J Lai, TY Liu
ACL-2019, 2019
82019
Microsoft Research Asia's Systems for WMT19
Y Xia, X Tan, F Tian, F Gao, W Chen, Y Fan, L Gong, Y Leng, R Luo, ...
WMT-2019, 2019
72019
Exploiting monolingual data at scale for neural machine translation
L Wu, Y Wang, Y Xia, QIN Tao, J Lai, TY Liu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
62019
Beyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation
L Wu, X Tan, T Qin, J Lai, TY Liu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019
22019
Machine Translation With Weakly Paired Documents
L Wu, J Zhu, D He, F Gao, QIN Tao, J Lai, TY Liu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
12019
Efficient Bidirectional Neural Machine Translation
X Tan, Y Xia, L Wu, T Qin
arXiv preprint arXiv:1908.09329, 2019
12019
Learning to Teach with Deep Interactions
Y Fan, Y Xia, L Wu, S Xie, W Liu, J Bian, T Qin, XY Li, TY Liu
arXiv preprint arXiv:2007.04649, 2020
2020
Multi-branch Attentive Transformer
Y Fan, S Xie, Y Xia, L Wu, T Qin, XY Li, TY Liu
arXiv preprint arXiv:2006.10270, 2020
2020
Transductive Ensemble Learning for Neural Machine Translation
Y Wang, L Wu, Y Xia, T Qin, CX Zhai, TY Liu
AAAI-2020, 2020
2020
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