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Lijun Wu
Lijun Wu
Microsoft Research
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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
5252018
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
X Li, W Wang, L Wu, S Chen, X Hu, J Li, J Tang, J Yang
NeurIPS-2020, 2020
3132020
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
3082020
Deliberation networks: Sequence generation beyond one-pass decoding
Y Xia, F Tian, L Wu, J Lin, T Qin, N Yu, TY Liu
NeurIPS-2017, 1782-1792, 2017
1812017
A study of reinforcement learning for neural machine translation
L Wu, F Tian, T Qin, J Lai, TY Liu
EMNLP-2018, 2018
1472018
R-drop: Regularized dropout for neural networks
L Xiaobo, L Wu, J Li, Y Wang, Q Meng, T Qin, W Chen, M Zhang, TY Liu
Advances in Neural Information Processing Systems 34, 10890-10905, 2021
1342021
Adversarial neural machine translation
L Wu, Y Xia, L Zhao, F Tian, T Qin, J Lai, TY Liu
ACML-2018, 2018
1302018
Soft contextual data augmentation for neural machine translation
J Zhu, F Gao, L Wu, Y Xia, T Qin, W Zhou, X Cheng, TY Liu
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
982019
Learning to teach with dynamic loss functions
L Wu, F Tian, Y Xia, Y Fan, T Qin, J Lai, TY Liu
NeurIPS-2018, 2018
922018
Exploiting monolingual data at scale for neural machine translation
L Wu, Y Wang, Y Xia, QIN Tao, J Lai, TY Liu
EMNLP-2019, 4198-4207, 2019
492019
Efficient sequence learning with group recurrent networks
F Gao, L Wu, L Zhao, T Qin, X Cheng, TY Liu
NAACL-2018, 799-808, 2018
412018
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
322019
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
32*2018
Word attention for sequence to sequence text understanding
L Wu, F Tian, L Zhao, J Lai, TY Liu
AAAI-2018 32 (1), 2018
242018
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
212019
Transductive Ensemble Learning for Neural Machine Translation
Y Wang, L Wu, Y Xia, T Qin, CX Zhai, TY Liu
AAAI-2020, 2020
192020
Sequence Prediction with Unlabeled Data by Reward Function Learning.
L Wu, L Zhao, T Qin, J Lai, TY Liu
IJCAI-2017, 3098-3104, 2017
192017
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering
W Yu, H Zheng, M Li, L Ji, L Wu, N Xiao, N Duan
Advances in Neural Information Processing Systems, NeurIPS-2021 34, 2021
132021
Masked contrastive representation learning for reinforcement learning
J Zhu, Y Xia, L Wu, J Deng, W Zhou, T Qin, H Li
TPAMI-2022, 2020
122020
Multi-branch attentive transformer
Y Fan, S Xie, Y Xia, L Wu, T Qin, XY Li, TY Liu
arXiv preprint arXiv:2006.10270, 2020
122020
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