Mingsheng Long

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Referințe bibliografice	23965	22677
h-index	56	54
i10-index	87	86

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Jianmin WangSchool of Software, Tsinghua UniversityAdresă de e-mail confirmată pe tsinghua.edu.cn
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Zhangjie CaoPh.D. of Computer Science, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoAdresă de e-mail confirmată pe cs.uic.edu
Yue CaoBeijing Academy of Artificial IntelligenceAdresă de e-mail confirmată pe baai.ac.cn
Yunbo WangAssistant Professor, Shanghai Jiao Tong UniversityAdresă de e-mail confirmată pe sjtu.edu.cn
Ximei WangTencent; Tsinghua UniversityAdresă de e-mail confirmată pe mails.tsinghua.edu.cn
Ding GuiguangTsinghua UniversityAdresă de e-mail confirmată pe tsinghua.edu.cn
Han ZhuAlibaba GroupAdresă de e-mail confirmată pe alibaba-inc.com
Kaichao You (游凯超)PhD student at Tsinghua UniversityAdresă de e-mail confirmată pe mails.tsinghua.edu.cn
Haixu WuMaster student, Tsinghua UniversityAdresă de e-mail confirmată pe mails.tsinghua.edu.cn
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairAdresă de e-mail confirmată pe cse.ust.hk
Hong LiuStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Xinyang ChenAssistant Professor, Harbin Institute of Technology (Shenzhen)Adresă de e-mail confirmată pe hit.edu.cn
Shichen LiuGoogleAdresă de e-mail confirmată pe google.com
Yang ShuPhD student, Tsinghua UniversityAdresă de e-mail confirmată pe mails.tsinghua.edu.cn
Junguang JiangTsinghua UniversityAdresă de e-mail confirmată pe mails.tsinghua.edu.cn
Ying JinMMLab, The Chinese University of Hong KongAdresă de e-mail confirmată pe ie.cuhk.edu.hk
Sinno Jialin PanThe Chinese University of Hong KongAdresă de e-mail confirmată pe cuhk.edu.hk
Tianle LiuPh.D. student in statistics at Harvard UniversityAdresă de e-mail confirmată pe fas.harvard.edu

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Mingsheng Long

Associate Professor, Tsinghua University

Adresă de e-mail confirmată pe tsinghua.edu.cn - Pagina de pornire

Machine learning transfer learning deep learning scientific learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2015	4331	2015
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2017	2033	2017
Transfer Feature Learning with Joint Distribution Adaptation M Long, J Wang, G Ding, J Sun, PS Yu International Conference on Computer Vision (ICCV), 2013	1589	2013
Conditional Adversarial Domain Adaptation M Long, Z Cao, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2018	1558	2018
Unsupervised Domain Adaptation with Residual Transfer Networks M Long, H Zhu, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2016	1386	2016
Transfer Joint Matching for Unsupervised Domain Adaptation M Long, J Wang, G Ding, J Sun, P Yu Computer Vision and Pattern Recognition (CVPR), 2014	685	2014
Multi-Adversarial Domain Adaptation Z Pei, Z Cao, M Long, J Wang AAAI Conference on Artificial Intelligence (AAAI), 2018	627	2018
Deep Hashing Network for Efficient Similarity Retrieval H Zhu, M Long, J Wang, Y Cao AAAI Conference on Artificial Intelligence (AAAI), 2016	621	2016
HashNet: Deep Learning to Hash by Continuation Z Cao, M Long, J Wang, PS Yu International Conference on Computer Vision (ICCV), 2017	574	2017
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	571	2014
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs Y Wang, M Long, J Wang, PS Yu Neural Information Processing Systems (NIPS), 2017	526	2017
Bridging Theory and Algorithm for Domain Adaptation Y Zhang, T Liu, M Long, MI Jordan International Conference on Machine Learning (ICML), 2019	464	2019
Partial Transfer Learning with Selective Adversarial Networks Z Cao, M Long, J Wang, MI Jordan Computer Vision and Pattern Recognition (CVPR), 2018	371	2018
Partial Adversarial Domain Adaptation Z Cao, L Ma, M Long, J Wang European Conference on Computer Vision (ECCV), 2018	359	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	356	2019
Learning Multiple Tasks with Multilinear Relationship Networks M Long, Z Cao, J Wang, P Yu Neural Information Processing Systems (NIPS), 2017	347	2017
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	324	2019
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	324	2018
Deep Visual-Semantic Quantization for Efficient Image Retrieval Y Cao, M Long, J Wang, S Liu Computer Vision and Pattern Recognition (CVPR), 2017	320	2017
Universal Domain Adaptation K You, M Long, Z Cao, J Wang, MI Jordan Computer Vision and Pattern Recognition (CVPR), 2019	294	2019

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