Jinhua Zhu

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	Total	Desde 2020
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Índice i10	23	23

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Lijun WuMicrosoft ResearchDirección de correo verificada de microsoft.com
Tao QinPartner Research Manager, Microsoft ResearchDirección de correo verificada de microsoft.com
Tie-Yan LiuPresident, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA FellowDirección de correo verificada de bjzgca.edu.cn
Yingce XiaPrincipal Research Manager, Microsoft Research AI for ScienceDirección de correo verificada de microsoft.com
Wengang ZhouProfessor, EEIS Department, University of Science and Technology of ChinaDirección de correo verificada de ustc.edu.cn
Houqiang LiProfessor, Department of Electric Engineering and Information Science, University of Science andDirección de correo verificada de ustc.edu.cn
Qizhi PeiPhD Student, Gaoling School of Artificial Intelligence, Renmin University of ChinaDirección de correo verificada de ruc.edu.cn
Kaiyuan GaoHuazhong University of Science and TechnologyDirección de correo verificada de hust.edu.cn
Fei GaoBytedanceDirección de correo verificada de bytedance.com
Jiajun Deng (邓家俊)University of Adelaide, Australian Institute for Machine LearningDirección de correo verificada de adelaide.edu.au
Lu Hou (侯璐)Noah's Ark Lab, HuaweiDirección de correo verificada de huawei.com
Yue WangMicrosoft ResearchDirección de correo verificada de microsoft.com
Zhenyu HePhD Student, Peking UniversityDirección de correo verificada de stu.pku.edu.cn
Guolin KeDP TechnologyDirección de correo verificada de dp.tech
Mingxiao FengUniversity of Science and Technology of ChinaDirección de correo verificada de mail.ustc.edu.cn

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Jinhua Zhu

University of Science and Technology of China

Dirección de correo verificada de mail.ustc.edu.cn

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	499	2020
Soft contextual data augmentation for neural machine translation J Zhu, F Gao, L Wu, Y Xia, T Qin, W Zhou, X Cheng, TY Liu ACL-2019, 2019	170*	2019
Dual-view molecular pre-training J Zhu, Y Xia, L Wu, S Xie, W Zhou, T Qin, H Li, TY Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023	92	2023
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	70	2022
Masked contrastive representation learning for reinforcement learning J Zhu, Y Xia, L Wu, J Deng, W Zhou, T Qin, TY Liu, H Li IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3421-3433, 2022	65	2022
Biot5: Enriching cross-modal integration in biology with chemical knowledge and natural language associations Q Pei, W Zhang, J Zhu, K Wu, K Gao, L Wu, Y Xia, R Yan arXiv preprint arXiv:2310.07276, 2023	60	2023
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	56	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, 2022	56	2022
Return-based contrastive representation learning for reinforcement learning G Liu, C Zhang, L Zhao, T Qin, J Zhu, J Li, N Yu, TY Liu ICLR-2021, 2021	54	2021
Normalization helps training of quantized lstm L Hou, J Zhu, J Kwok, F Gao, T Qin, T Liu Advances in Neural Information Processing Systems 32, 2019	51	2019
A study of BERT for context-aware neural machine translation X Wu, Y Xia, J Zhu, L Wu, S Xie, T Qin Machine Learning 111 (3), 917-935, 2022	33	2022
Biot5+: Towards generalized biological understanding with iupac integration and multi-task tuning Q Pei, L Wu, K Gao, X Liang, Y Fang, J Zhu, S Xie, T Qin, R Yan arXiv preprint arXiv:2402.17810, 2024	28	2024
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	27	2019
Fabind: Fast and accurate protein-ligand binding Q Pei, K Gao, L Wu, J Zhu, Y Xia, S Xie, T Qin, K He, TY Liu, R Yan Advances in Neural Information Processing Systems 36, 2024	22	2024
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey Q Pei, L Wu, K Gao, J Zhu, Y Wang, Z Wang, T Qin, R Yan arXiv preprint arXiv:2403.01528, 2024	19	2024
Discovering drug–target interaction knowledge from biomedical literature Y Hou, Y Xia, L Wu, S Xie, Y Fan, J Zhu, T Qin, TY Liu Bioinformatics 38 (22), 5100-5107, 2022	17	2022
Breaking the barriers of data scarcity in drug–target affinity prediction Q Pei, L Wu, J Zhu, Y Xia, S Xie, T Qin, H Liu, TY Liu, R Yan Briefings in Bioinformatics 24 (6), bbad386, 2023	16	2023
R²-DDI: relation-aware feature refinement for drug–drug interaction prediction J Lin, L Wu, J Zhu, X Liang, Y Xia, S Xie, T Qin, TY Liu Briefings in Bioinformatics 24 (1), bbac576, 2023	16	2023
Machine translation with weakly paired documents L Wu, J Zhu, D He, F Gao, T Qin, J Lai, TY Liu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019	16	2019
mixSeq: A simple data augmentation methodfor neural machine translation X Wu, Y Xia, J Zhu, L Wu, S Xie, Y Fan, T Qin Proceedings of the 18th International Conference on Spoken Language …, 2021	15	2021

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