Jianmin Wang

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Mingsheng LongAssociate Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoDirección de correo verificada de cs.uic.edu
Lijie Wen（闻立杰）Tenure Associate Professor, School of Software, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Ding GuiguangTsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Yue CaoLightyear AIDirección de correo verificada de baai.ac.cn
Shaoxu SongTsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Xiaochen ZhuTsinghua UniversityDirección de correo verificada de mails.tsinghua.edu.cn
Xuemin LinChair Professor at Shanghai Jiaotong UniversityDirección de correo verificada de cse.unsw.edu.au
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eDirección de correo verificada de pads.rwth-aachen.de
Li ZhangAssociate Professor, School of Software, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Zhiqiang YanCapital University of Economics and BusinessDirección de correo verificada de cueb.edu.cn
Qinlong GuoGraduate student at School of Software, Tsinghua UniversityDirección de correo verificada de mails.tsinghua.edu.cn
Marcello La RosaSchool of Computing and Information Systems, University of MelbourneDirección de correo verificada de unimelb.edu.au
刘英博Institute of Information Science and EngineeringDirección de correo verificada de mails.tsinghua.edu.cn
Clark ThomborsonProfessor (Hon.), Computer Science Department, University of AucklandDirección de correo verificada de auckland.ac.nz
Chun OuyangAssociate Professor, PhD, Queensland University of TechnologyDirección de correo verificada de qut.edu.au
Dou ShenBaidu IncDirección de correo verificada de baidu.com
Yun YangSwinburne University of TechnologyDirección de correo verificada de swin.edu.au
Rui HanAssociate Professor, Beijing Institute of TechnologyDirección de correo verificada de bit.edu.cn
Haixun WangVP of Engineering, Algorithm & Distinguished Scientist at InstacartDirección de correo verificada de instacart.com

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Jianmin Wang

School of Software, Tsinghua University

Dirección de correo verificada de tsinghua.edu.cn

Big Data management Workflow management Process mining


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	5592	2015
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	2698	2017
Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018	2292	2018
Transfer feature learning with joint distribution adaptation M Long, J Wang, G Ding, J Sun, PS Yu Proceedings of the IEEE international conference on computer vision, 2200-2207, 2013	2016	2013
Process mining manifesto W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ... Business Process Management Workshops: BPM 2011 International Workshops …, 2012	1818	2012
Unsupervised domain adaptation with residual transfer networks M Long, H Zhu, J Wang, MI Jordan Advances in neural information processing systems 29, 2016	1651	2016
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting H Wu, J Xu, J Wang, M Long Advances in neural information processing systems 34, 22419-22430, 2021	1088	2021
Multi-adversarial domain adaptation Z Pei, Z Cao, M Long, J Wang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	855	2018
Transfer joint matching for unsupervised domain adaptation M Long, J Wang, G Ding, J Sun, PS Yu Proceedings of the IEEE conference on computer vision and pattern …, 2014	805	2014
Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms Y Wang, M Long, J Wang, Z Gao, PS Yu Advances in neural information processing systems 30, 2017	782	2017
Hashnet: Deep learning to hash by continuation Z Cao, M Long, J Wang, PS Yu Proceedings of the IEEE international conference on computer vision, 5608-5617, 2017	740	2017
Deep hashing network for efficient similarity retrieval H Zhu, M Long, J Wang, Y Cao Proceedings of the AAAI conference on Artificial Intelligence 30 (1), 2016	734	2016
Adaptation regularization: A general framework for transfer learning M Long, J Wang, G Ding, SJ Pan, SY Philip IEEE Transactions on Knowledge and Data Engineering 26 (5), 1076-1089, 2013	658	2013
Semantics-preserving hashing for cross-view retrieval Z Lin, G Ding, M Hu, J Wang Proceedings of the IEEE conference on computer vision and pattern …, 2015	556	2015
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 41 (12), 3071 …, 2018	509	2018
Predrnn++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning Y Wang, Z Gao, M Long, J Wang, SY Philip International conference on machine learning, 5123-5132, 2018	492	2018
Transferability vs. discriminability: Batch spectral penalization for adversarial domain adaptation X Chen, S Wang, M Long, J Wang International conference on machine learning, 1081-1090, 2019	486	2019
Partial adversarial domain adaptation Z Cao, L Ma, M Long, J Wang Proceedings of the European conference on computer vision (ECCV), 135-150, 2018	483	2018
Universal domain adaptation K You, M Long, Z Cao, J Wang, MI Jordan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	480	2019
Partial transfer learning with selective adversarial networks Z Cao, M Long, J Wang, MI Jordan Proceedings of the IEEE conference on computer vision and pattern …, 2018	475	2018

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