Mingsheng Long 个人学术档案

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Jianmin WangSchool of Software, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Zhangjie CaoPh.D. of Computer Science, Stanford University在 stanford.edu 的电子邮件经过验证
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
Yue CaoLightyear AI在 baai.ac.cn 的电子邮件经过验证
Haixu WuPh.D. student, Tsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Yunbo WangAssociate Professor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
Ximei WangTencent; Tsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Kaichao You (游凯超)PhD student at Tsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Ding GuiguangTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Han ZhuAlibaba Group在 alibaba-inc.com 的电子邮件经过验证
Yong LiuTsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General Chair在 cse.ust.hk 的电子邮件经过验证
Junguang JiangTsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Xinyang ChenAssistant Professor, Harbin Institute of Technology (Shenzhen)在 hit.edu.cn 的电子邮件经过验证
Hong LiuStanford University在 stanford.edu 的电子邮件经过验证
Shichen LiuGoogle在 google.com 的电子邮件经过验证
Yang ShuAssistant Professor, East China Normal University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Jialong WuPh.D. student, Tsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Yuchen ZhangTsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证

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Mingsheng Long

其他姓名龙明盛

Associate Professor, Tsinghua University

在 tsinghua.edu.cn 的电子邮件经过验证 - 首页

Machine learning deep learning transfer learning scientific machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2015	5715	2015
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2017	2755	2017
Conditional Adversarial Domain Adaptation M Long, Z Cao, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2018	2429	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	2063	2013
Unsupervised Domain Adaptation with Residual Transfer Networks M Long, H Zhu, J Wang, MI Jordan Neural Information Processing Systems (NIPS), 2016	1683	2016
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	1295	2021
Multi-Adversarial Domain Adaptation Z Pei, Z Cao, M Long, J Wang AAAI Conference on Artificial Intelligence (AAAI), 2018	879	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	822	2017
Transfer Joint Matching for Unsupervised Domain Adaptation M Long, J Wang, G Ding, J Sun, P Yu Computer Vision and Pattern Recognition (CVPR), 2014	813	2014
Bridging Theory and Algorithm for Domain Adaptation Y Zhang, T Liu, M Long, MI Jordan International Conference on Machine Learning (ICML), 2019	772	2019
HashNet: Deep Learning to Hash by Continuation Z Cao, M Long, J Wang, PS Yu International Conference on Computer Vision (ICCV), 2017	760	2017
Deep Hashing Network for Efficient Similarity Retrieval H Zhu, M Long, J Wang, Y Cao AAAI Conference on Artificial Intelligence (AAAI), 2016	743	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	664	2014
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	533	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	516	2018
Universal Domain Adaptation K You, M Long, Z Cao, J Wang, MI Jordan Computer Vision and Pattern Recognition (CVPR), 2019	513	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	507	2019
Partial Adversarial Domain Adaptation Z Cao, L Ma, M Long, J Wang European Conference on Computer Vision (ECCV), 2018	506	2018
Partial Transfer Learning with Selective Adversarial Networks Z Cao, M Long, J Wang, MI Jordan Computer Vision and Pattern Recognition (CVPR), 2018	487	2018
Eidetic 3D LSTM: A Model for Video Prediction and Beyond Y Wang, L Jiang, MH Yang, LJ Li, M Long, L Fei-Fei International Conference on Learning Representations (ICLR), 2018	396	2018

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