Jianmin Wang

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Mingsheng LongAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Lijie Wen（闻立杰）Tenure Associate Professor, School of Software, Tsinghua UniversityVerified email at tsinghua.edu.cn
Ding GuiguangTsinghua UniversityVerified email at tsinghua.edu.cn
Yue CaoLightyear AIVerified email at baai.ac.cn
Shaoxu SongTsinghua UniversityVerified email at tsinghua.edu.cn
Xiaochen ZhuTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Xuemin LinChair Professor at Shanghai Jiaotong UniversityVerified email at cse.unsw.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
Li ZhangAssociate Professor, School of Software, Tsinghua UniversityVerified email at tsinghua.edu.cn
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
Marcello La RosaProfessor at University of Melbourne | Chief Executive Officer at ApromoreVerified email at unimelb.edu.au
刘英博Institute of Information Science and EngineeringVerified email at mails.tsinghua.edu.cn
Clark ThomborsonProfessor (Hon.), Computer Science Department, University of AucklandVerified email at auckland.ac.nz
Dou ShenBaidu IncVerified email at baidu.com
Chun OuyangAssociate Professor, PhD, Queensland University of TechnologyVerified email at qut.edu.au
Yun YangSwinburne University of TechnologyVerified email at swin.edu.au
Rui HanAssociate Professor, Beijing Institute of TechnologyVerified email at bit.edu.cn
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	6360	2015
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	3081	2017
Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018	2754	2018
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	2306	2021
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	2236	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	1995	2012
Unsupervised domain adaptation with residual transfer networks M Long, H Zhu, J Wang, MI Jordan Advances in neural information processing systems 29, 2016	1799	2016
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	996	2017
Timesnet: Temporal 2d-variation modeling for general time series analysis H Wu, T Hu, Y Liu, H Zhou, J Wang, M Long arXiv preprint arXiv:2210.02186, 2022	992	2022
Multi-adversarial domain adaptation Z Pei, Z Cao, M Long, J Wang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	980	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	850	2014
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	839	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	788	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	702	2013
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	636	2018
Anomaly transformer: Time series anomaly detection with association discrepancy J Xu arXiv preprint arXiv:2110.02642, 2021	612	2021
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	608	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	605	2019
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	604	2015
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	597	2019

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