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Lijun Wu
Lijun Wu
Microsoft Research
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Title
Cited by
Cited by
Year
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
6892020
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
6472018
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
4202020
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
3362021
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
2192017
A study of reinforcement learning for neural machine translation
L Wu, F Tian, T Qin, J Lai, TY Liu
EMNLP-2018, 2018
1872018
Adversarial neural machine translation
L Wu, Y Xia, L Zhao, F Tian, T Qin, J Lai, TY Liu
ACML-2018, 2018
1452018
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
1352019
Learning to teach with dynamic loss functions
L Wu, F Tian, Y Xia, Y Fan, T Qin, J Lai, TY Liu
NeurIPS-2018, 2018
1222018
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
612019
A survey on non-autoregressive generation for neural machine translation and beyond
Y Xiao, L Wu, J Guo, J Li, M Zhang, T Qin, T Liu
TPAMI-2023, 2022
542022
Efficient sequence learning with group recurrent networks
F Gao, L Wu, L Zhao, T Qin, X Cheng, TY Liu
NAACL-2018, 799-808, 2018
522018
Dual-view molecule pre-training
J Zhu, Y Xia, L Wu, S Xie, T Qin, W Zhou, H Li, TY Liu
KDD-2023, 2021
47*2021
Unified 2D and 3D Pre-Training of Molecular Representations
J Zhu, Y Xia, L Wu, S Xie, T Qin, W Zhou, H Li, TY Liu
KDD-2022, 2022
412022
Masked contrastive representation learning for reinforcement learning
J Zhu, Y Xia, L Wu, J Deng, W Zhou, T Qin, H Li
TPAMI-2022, 2020
402020
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
37*2018
Multimodal sentiment analysis with unidirectional modality translation
B Yang, B Shao, L Wu, X Lin
Neurocomputing 467, 130-137, 2022
352022
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
352019
Direct molecular conformation generation
J Zhu, Y Xia, C Liu, L Wu, S Xie, T Wang, Y Wang, W Zhou, T Qin, H Li, ...
TMLR, 2022
332022
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
302021
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