Mingsheng Long

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

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Mingsheng Long

Outros nomes龙明盛

Associate Professor, Tsinghua University

E-mail confirmado em tsinghua.edu.cn - Página inicial

Machine learning deep learning transfer learning scientific machine learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Learning Transferable Features with Deep Adaptation Networks M Long, Y Cao, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2015	6416	2015
Deep Transfer Learning with Joint Adaptation Networks M Long, H Zhu, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2017	3105	2017
Conditional Adversarial Domain Adaptation M Long, Z Cao, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2018	2845	2018
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	2503	2021
Transfer Feature Learning with Joint Distribution Adaptation M Long, J Wang, G Ding, J Sun, PS Yu International Conference on Computer Vision (ICCV), 2013	2266	2013
Unsupervised Domain Adaptation with Residual Transfer Networks M Long, H Zhu, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2016	1801	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	1131	2023
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs Y Wang, M Long, J Wang, PS Yu Neural Information Processing Systems (NIPS), 2017	1022	2017
Multi-Adversarial Domain Adaptation Z Pei, Z Cao, M Long, J Wang AAAI Conference on Artificial Intelligence (AAAI), 2018	986	2018
Bridging Theory and Algorithm for Domain Adaptation Y Zhang, T Liu, M Long, MI Jordan International Conference on Machine Learning (ICML), 2019	908	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	863	2014
HashNet: Deep Learning to Hash by Continuation Z Cao, M Long, J Wang, PS Yu International Conference on Computer Vision (ICCV), 2017	849	2017
Deep Hashing Network for Efficient Similarity Retrieval H Zhu, M Long, J Wang, Y Cao AAAI Conference on Artificial Intelligence (AAAI), 2016	790	2016
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	713	2014
itransformer: Inverted transformers are effective for time series forecasting Y Liu, T Hu, H Zhang, H Wu, S Wang, L Ma, M Long International Conference on Learning Representations (ICLR), 2024	710	2024
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy J Xu, H Wu, J Wang, M Long International Conference on Learning Representations (ICLR), 2022	661	2022
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	656	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	620	2019
Universal Domain Adaptation K You, M Long, Z Cao, J Wang, MI Jordan Computer Vision and Pattern Recognition (CVPR), 2019	614	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	599	2019

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