Lijun Wu

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Tao QinSenior Principal Research Manager, Microsoft ResearchVerified email at microsoft.com
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerified email at microsoft.com
Yingce XiaPrincipal Researcher, Microsoft Research AI4ScienceVerified email at microsoft.com
Jinhua ZhuUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
Fei TianFacebookVerified email at fb.com
Wengang ZhouProfessor, EEIS Department, University of Science and Technology of ChinaVerified email at ustc.edu.cn
Jianhuang LaiSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Min ZhangProfessor of Computer Science, Soochow UniversityVerified email at suda.edu.cn
Houqiang LiProfessor, Department of Electric Engineering and Information Science, University of Science andVerified email at ustc.edu.cn
Fei GaoBytedanceVerified email at bytedance.com
Di HePeking UniversityVerified email at pku.edu.cn
Li ZhaoResearcherVerified email at microsoft.com
Qi MengMicrosoft Research AI4ScienceVerified email at microsoft.com
Yiren WangMicrosoft ResearchVerified email at microsoft.com
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)Verified email at chuangxin.com
Hany Hassan AwadallaMicrosoft ResearchVerified email at microsoft.com
Xiaobo LiangSoochow UniversityVerified email at stu.suda.edu.cn
Rui Yan (严睿)Renmin University of China. Previously with Peking U. and UPennVerified email at seas.upenn.edu
Jianxin LinAssociate Professor of Computer Science, Hunan UniversityVerified email at hnu.edu.cn
Yue WangMicrosoft ResearchVerified email at microsoft.com

Lijun Wu

Microsoft Research

Verified email at microsoft.com - Homepage

ML NLP Healthcare Drug Discovery Multimodal Learning


Title Sort by citations Sort by year Sort by 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	609	2018
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	566	2020
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	396	2020
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	292	2021
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	211	2017
A study of reinforcement learning for neural machine translation L Wu, F Tian, T Qin, J Lai, TY Liu EMNLP-2018, 2018	175	2018
Adversarial neural machine translation L Wu, Y Xia, L Zhao, F Tian, T Qin, J Lai, TY Liu ACML-2018, 2018	138	2018
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	124	2019
Learning to teach with dynamic loss functions L Wu, F Tian, Y Xia, Y Fan, T Qin, J Lai, TY Liu NeurIPS-2018, 2018	119	2018
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	56	2019
Efficient sequence learning with group recurrent networks F Gao, L Wu, L Zhao, T Qin, X Cheng, TY Liu NAACL-2018, 799-808, 2018	48	2018
Dual-view molecule pre-training J Zhu, Y Xia, L Wu, S Xie, T Qin, W Zhou, H Li, TY Liu KDD-2023, 2021	39*	2021
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
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	35	2019
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	33	2022
Masked contrastive representation learning for reinforcement learning J Zhu, Y Xia, L Wu, J Deng, W Zhou, T Qin, H Li TPAMI-2022, 2020	29	2020
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	28	2022
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	28	2021
Word attention for sequence to sequence text understanding L Wu, F Tian, L Zhao, J Lai, TY Liu AAAI-2018 32 (1), 2018	27	2018
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	26	2022

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