Jianmin Wang

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Mingsheng LongAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Lijie Wen（闻立杰）Associate Professor, School of Software, Tsinghua UniversityVerified email at tsinghua.edu.cn
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Ding GuiguangTsinghua UniversityVerified email at tsinghua.edu.cn
Yue CaoSenior Researcher, Microsoft Research AsiaVerified email at microsoft.com
Shaoxu SongTsinghua UniversityVerified email at tsinghua.edu.cn
Xiaochen ZhuTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Arthur ter HofstedeQueensland University of TechnologyVerified email at qut.edu.au
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Xuemin LinUNSW Scientia ProfessorVerified email at cse.unsw.edu.au
Zhiqiang YanCapital University of Economics and BusinessVerified email at cueb.edu.cn
Qinlong GuoGraduate student at School of Software, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Li ZhangAssociate Professor, School of Software, Tsinghua UniversityVerified email at tsinghua.edu.cn
Marcello La RosaSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
刘英博Institute of Information Science and EngineeringVerified email at mails.tsinghua.edu.cn
Chun OuyangQueensland University of TechnologyVerified email at qut.edu.au
Dou ShenBaidu IncVerified email at baidu.com
Rui HanAssociate Professor, Beijing Institute of TechnologyVerified email at bit.edu.cn
Yun YangSwinburne University of TechnologyVerified email at swin.edu.au
Haixun WangVP of Engineering, Algorithm & Distinguished Scientist at InstacartVerified email at instacart.com

Jianmin Wang

School of Software, Tsinghua University

Verified email at tsinghua.edu.cn

Big Data management Workflow management Process mining


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, M Jordan International conference on machine learning, 97-105, 2015	3498	2015
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	1617	2017
Process mining manifesto W Aalst, A Adriansyah, AKA Medeiros, F Arcieri, T Baier, T Blickle, ... International conference on business process management, 169-194, 2011	1403	2011
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	1328	2013
Unsupervised domain adaptation with residual transfer networks M Long, H Zhu, J Wang, MI Jordan Advances in neural information processing systems 29, 2016	1166	2016
Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018	1099	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	603	2014
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	527	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	498	2013
Multi-adversarial domain adaptation Z Pei, Z Cao, M Long, J Wang Thirty-second AAAI conference on artificial intelligence, 2018	485	2018
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	456	2017
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	414	2015
Mining process models with non-free-choice constructs L Wen, WMP Van Der Aalst, J Wang, J Sun Data Mining and Knowledge Discovery 15 (2), 145-180, 2007	390	2007
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	370	2017
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	301	2018
Learning multiple tasks with multilinear relationship networks M Long, Z Cao, J Wang, PS Yu Advances in neural information processing systems 30, 2017	287*	2017
Deep visual-semantic quantization for efficient image retrieval Y Cao, M Long, J Wang, S Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	286	2017
Partial adversarial domain adaptation Z Cao, L Ma, M Long, J Wang Proceedings of the European conference on computer vision (ECCV), 135-150, 2018	279	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 41 (12), 3071 …, 2018	268	2018
Deep visual-semantic hashing for cross-modal retrieval Y Cao, M Long, J Wang, Q Yang, PS Yu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016	233	2016

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