Mingsheng Long

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

Mingsheng Long

Other names龙明盛

Associate Professor, Tsinghua University

Verified email at tsinghua.edu.cn - Homepage

Machine learning deep learning transfer learning scientific machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning Transferable Features with Deep Adaptation Networks M Long, Y Cao, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2015	6320	2015
Deep Transfer Learning with Joint Adaptation Networks M Long, H Zhu, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2017	3052	2017
Conditional Adversarial Domain Adaptation M Long, Z Cao, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2018	2774	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	2231	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	2221	2021
Unsupervised Domain Adaptation with Residual Transfer Networks M Long, H Zhu, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2016	1794	2016
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs Y Wang, M Long, J Wang, PS Yu Neural Information Processing Systems (NIPS), 2017	984	2017
Multi-Adversarial Domain Adaptation Z Pei, Z Cao, M Long, J Wang AAAI Conference on Artificial Intelligence (AAAI), 2018	976	2018
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	926	2023
Bridging Theory and Algorithm for Domain Adaptation Y Zhang, T Liu, M Long, MI Jordan International Conference on Machine Learning (ICML), 2019	886	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	850	2014
HashNet: Deep Learning to Hash by Continuation Z Cao, M Long, J Wang, PS Yu International Conference on Computer Vision (ICCV), 2017	831	2017
Deep Hashing Network for Efficient Similarity Retrieval H Zhu, M Long, J Wang, Y Cao AAAI Conference on Artificial Intelligence (AAAI), 2016	786	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	697	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	622	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	603	2019
Universal Domain Adaptation K You, M Long, Z Cao, J Wang, MI Jordan Computer Vision and Pattern Recognition (CVPR), 2019	601	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	589	2019
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy J Xu, H Wu, J Wang, M Long International Conference on Learning Representations (ICLR), 2022	584	2022
Partial Adversarial Domain Adaptation Z Cao, L Ma, M Long, J Wang European Conference on Computer Vision (ECCV), 2018	556	2018

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