Mingsheng Long

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	Tutte	Dal 2019
Citazioni	41267	38415
Indice H	73	72
i10-index	113	112

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Jianmin WangSchool of Software, Tsinghua UniversityEmail verificata su tsinghua.edu.cn
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Zhangjie CaoPh.D. of Computer Science, Stanford UniversityEmail verificata su stanford.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoEmail verificata su cs.uic.edu
Yue CaoLightyear AIEmail verificata su baai.ac.cn
Haixu WuPh.D. student, Tsinghua UniversityEmail verificata su mails.tsinghua.edu.cn
Yunbo WangAssociate Professor, Shanghai Jiao Tong UniversityEmail verificata su sjtu.edu.cn
Yong LiuPh.D. student, Tsinghua UniversityEmail verificata su mails.tsinghua.edu.cn
Kaichao YouPhD student at Tsinghua UniversityEmail verificata su mails.tsinghua.edu.cn
Ding GuiguangTsinghua UniversityEmail verificata su tsinghua.edu.cn
Han ZhuAlibaba GroupEmail verificata su alibaba-inc.com
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairEmail verificata su cse.ust.hk
Xinyang ChenAssistant Professor, Harbin Institute of Technology (Shenzhen)Email verificata su hit.edu.cn
Jialong WuPh.D. student, Tsinghua UniversityEmail verificata su mails.tsinghua.edu.cn
Hong LiuStanford UniversityEmail verificata su stanford.edu
Yuchen ZhangTsinghua UniversityEmail verificata su mails.tsinghua.edu.cn
Li Fei-FeiProfessor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAEmail verificata su cs.ucla.edu
Joshua B. TenenbaumMITEmail verificata su mit.edu
Jiajun WuStanford UniversityEmail verificata su cs.stanford.edu

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Mingsheng Long

Altri nomi龙明盛

Associate Professor, Tsinghua University

Email verificata su tsinghua.edu.cn - Home page

Machine learning deep learning transfer learning scientific machine learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Learning Transferable Features with Deep Adaptation Networks M Long, Y Cao, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2015	6172	2015
Deep Transfer Learning with Joint Adaptation Networks M Long, H Zhu, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2017	2986	2017
Conditional Adversarial Domain Adaptation M Long, Z Cao, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2018	2695	2018
Transfer Feature Learning with Joint Distribution Adaptation M Long, J Wang, G Ding, J Sun, PS Yu International Conference on Computer Vision (ICCV), 2013	2196	2013
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting H Wu, J Xu, J Wang, M Long Neural Information Processing Systems (NIPS), 2021	1966	2021
Unsupervised Domain Adaptation with Residual Transfer Networks M Long, H Zhu, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2016	1765	2016
Multi-Adversarial Domain Adaptation Z Pei, Z Cao, M Long, J Wang AAAI Conference on Artificial Intelligence (AAAI), 2018	951	2018
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs Y Wang, M Long, J Wang, PS Yu Neural Information Processing Systems (NIPS), 2017	949	2017
Bridging Theory and Algorithm for Domain Adaptation Y Zhang, T Liu, M Long, MI Jordan International Conference on Machine Learning (ICML), 2019	856	2019
Transfer Joint Matching for Unsupervised Domain Adaptation M Long, J Wang, G Ding, J Sun, P Yu Computer Vision and Pattern Recognition (CVPR), 2014	840	2014
HashNet: Deep Learning to Hash by Continuation Z Cao, M Long, J Wang, PS Yu International Conference on Computer Vision (ICCV), 2017	809	2017
Deep Hashing Network for Efficient Similarity Retrieval H Zhu, M Long, J Wang, Y Cao AAAI Conference on Artificial Intelligence (AAAI), 2016	777	2016
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis H Wu, T Hu, Y Liu, H Zhou, J Wang, M Long International Conference on Learning Representations (ICLR), 2023	755	2023
Adaptation Regularization: A General Framework for Transfer Learning M Long, J Wang, G Ding, SJ Pan, PS Yu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014	688	2014
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning Y Wang, Z Gao, M Long, J Wang, PS Yu International Conference on Machine Learning (ICML), 2018	593	2018
Transferable representation learning with deep adaptation networks M Long, Y Cao, Z Cao, J Wang, MI Jordan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019	584	2019
Universal Domain Adaptation K You, M Long, Z Cao, J Wang, MI Jordan Computer Vision and Pattern Recognition (CVPR), 2019	577	2019
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation X Chen, S Wang, M Long, J Wang International Conference on Machine Learning (ICML), 2019	565	2019
Partial Adversarial Domain Adaptation Z Cao, L Ma, M Long, J Wang European Conference on Computer Vision (ECCV), 2018	537	2018
Partial Transfer Learning with Selective Adversarial Networks Z Cao, M Long, J Wang, MI Jordan Computer Vision and Pattern Recognition (CVPR), 2018	520	2018

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