Lijun Wu 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	4393	4243
h 指数	26	26
i10 指数	46	46

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Tao QinSenior Principal Research Manager, Microsoft Research在 microsoft.com 的电子邮件经过验证
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA Fellow在 microsoft.com 的电子邮件经过验证
Yingce XiaPrincipal Researcher, Microsoft Research AI for Science在 microsoft.com 的电子邮件经过验证
Jinhua ZhuUniversity of Science and Technology of China在 mail.ustc.edu.cn 的电子邮件经过验证
Fei TianFacebook在 fb.com 的电子邮件经过验证
Jianhuang LaiSun Yat-sen University在 mail.sysu.edu.cn 的电子邮件经过验证
Min ZhangProfessor of Computer Science, Soochow University在 suda.edu.cn 的电子邮件经过验证
Houqiang LiProfessor, Department of Electric Engineering and Information Science, University of Science and在 ustc.edu.cn 的电子邮件经过验证
Fei GaoBytedance在 bytedance.com 的电子邮件经过验证
Di HePeking University在 pku.edu.cn 的电子邮件经过验证
Rui Yan (严睿)Renmin University of China. Previously with Peking U. and UPenn在 seas.upenn.edu 的电子邮件经过验证
Qi MengChinese Academy of Mathematics and Systems Science, CAS在 amss.ac.cn 的电子邮件经过验证
Li ZhaoResearcher在 microsoft.com 的电子邮件经过验证
Xiaobo LiangSoochow University在 stu.suda.edu.cn 的电子邮件经过验证
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)在 chuangxin.com 的电子邮件经过验证
Hany Hassan AwadallaMicrosoft Research在 microsoft.com 的电子邮件经过验证
Xiang Li（李翔）Associate Professor, Nankai University在 nankai.edu.cn 的电子邮件经过验证
Wenhai Wang (王文海)CUHK | Shanghai AI Laboratory | NJU在 cuhk.edu.hk 的电子邮件经过验证

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Lijun Wu

Microsoft Research

在 microsoft.com 的电子邮件经过验证 - 首页

ML NLP Drug Discovery Multimodal Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	882	2020
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	684	2018
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	445	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	376	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	221	2017
A study of reinforcement learning for neural machine translation L Wu, F Tian, T Qin, J Lai, TY Liu EMNLP-2018, 2018	196	2018
Adversarial neural machine translation L Wu, Y Xia, L Zhao, F Tian, T Qin, J Lai, TY Liu ACML-2018, 2018	148	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	146	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	125	2018
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	69	2022
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	65	2019
Dual-view molecule pre-training J Zhu, Y Xia, L Wu, S Xie, T Qin, W Zhou, H Li, TY Liu KDD-2023, 2021	59*	2021
Efficient sequence learning with group recurrent networks F Gao, L Wu, L Zhao, T Qin, X Cheng, TY Liu NAACL-2018, 799-808, 2018	54	2018
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	49	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	48	2020
Multimodal sentiment analysis with unidirectional modality translation B Yang, B Shao, L Wu, X Lin Neurocomputing 467, 130-137, 2022	45	2022
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	41	2022
Multimodal sentiment analysis with two-phase multi-task learning B Yang, L Wu, J Zhu, B Shao, X Lin, TY Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2015-2024, 2022	40	2022
MolXPT: Wrapping Molecules with Text for Generative Pre-training Z Liu, W Zhang, Y Xia, L Wu, S Xie, T Qin, M Zhang, TY Liu ACL-2023, 2023	39	2023
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	39	2019

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