Zhengming Ding

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	All	Since 2016
Citations	2248	2168
h-index	28	28
i10-index	56	54

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Co-authors

Yun Raymond FuNEU, Professor; FIEEE, FSPIE, FOSA, FIAPRVerified email at neu.edu
Ming ShaoUMass Dartmouth (Assistant Prof.)Verified email at umassd.edu
Sheng LiAssistant Professor of Computer Science, University of GeorgiaVerified email at uga.edu
Handong ZhaoAdobe ResearchVerified email at ece.neu.edu
Hongfu LiuAssistant Professor of Computer Science, Brandeis UniversityVerified email at brandeis.edu
Zhiqiang TaoAssistant Professor of Computer Science and Engineering, Santa Clara UniversityVerified email at scu.edu
Lichen WangNortheastern UniversityVerified email at northeastern.edu
Shuyang WangNortheastern UniversityVerified email at ece.neu.edu
Yu KongRIT, Assistant Professor; ACTION Lab, DirectorVerified email at rit.edu
Kai LiNortheastern UniversityVerified email at ece.neu.edu
Nasser M NasrabadiProfessor, CSEE, West Virginia UniversityVerified email at mail.wvu.edu
Chengcheng JiaPh.D. of ECE, Northeastern UniversityVerified email at husky.neu.edu
shuhui jiangPhD in Northeastern UniversityVerified email at coe.neu.edu
Haifeng XiaPurdue UniversityVerified email at purdue.edu
Yandong GuoResearcher @ Microsoft ResearchVerified email at microsoft.com
Kunpeng LiNortheastern UniversityVerified email at coe.neu.edu
Yulun ZhangNortheastern University, USAVerified email at mails.tsinghua.edu.cn
Yue WUNortheastern University, USAVerified email at ece.neu.edu
Taotao JingTulane UniversityVerified email at tulane.edu

Zhengming Ding

Assistant Professor of Computer Science, Tulane University

Verified email at tulane.edu - Homepage

machine learning computer vision data mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multi-view clustering via deep matrix factorization H Zhao, Z Ding, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	149	2017
Low-rank common subspace for multi-view learning Z Ding, Y Fu 2014 IEEE international conference on Data Mining, 110-119, 2014	120	2014
Robust transfer metric learning for image classification Z Ding, Y Fu IEEE Transactions on Image Processing 26 (2), 660-670, 2016	107	2016
Latent low-rank transfer subspace learning for missing modality recognition Z Ding, S Ming, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	95	2014
Deep low-rank coding for transfer learning Z Ding, M Shao, Y Fu Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	85	2015
Low-rank embedded ensemble semantic dictionary for zero-shot learning Z Ding, M Shao, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2017	78	2017
Leveraging the invariant side of generative zero-shot learning J Li, M Jing, K Lu, Z Ding, L Zhu, Z Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	76	2019
Sparse-representation-based graph embedding for traffic sign recognition K Lu, Z Ding, S Ge IEEE Transactions on Intelligent Transportation Systems 13 (4), 1515-1524, 2012	75	2012
Domain invariant and class discriminative feature learning for visual domain adaptation S Li, S Song, G Huang, Z Ding, C Wu IEEE Transactions on Image Processing 27 (9), 4260-4273, 2018	69	2018
From ensemble clustering to multi-view clustering Z Tao, H Liu, S Li, Z Ding, Y Fu IJCAI, 2017	62	2017
Robust multi-view subspace learning through dual low-rank decompositions Z Ding, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	58	2016
Incomplete multisource transfer learning Z Ding, M Shao, Y Fu IEEE transactions on neural networks and learning systems 29 (2), 310-323, 2016	54	2016
Graph adaptive knowledge transfer for unsupervised domain adaptation Z Ding, S Li, M Shao, Y Fu Proceedings of the European Conference on Computer Vision (ECCV), 37-52, 2018	53	2018
Latent tensor transfer learning for RGB-D action recognition C Jia, Y Kong, Z Ding, YR Fu Proceedings of the 22nd ACM international conference on Multimedia, 87-96, 2014	50	2014
Deep domain generalization with structured low-rank constraint Z Ding, Y Fu IEEE Transactions on Image Processing 27 (1), 304-313, 2017	47	2017
Deeply learned view-invariant features for cross-view action recognition Y Kong, Z Ding, J Li, Y Fu IEEE Transactions on Image Processing 26 (6), 3028-3037, 2017	47	2017
Missing modality transfer learning via latent low-rank constraint Z Ding, M Shao, Y Fu IEEE transactions on Image Processing 24 (11), 4322-4334, 2015	46	2015
Deep linear coding for fast graph clustering M Shao, S Li, Z Ding, Y Fu Twenty-fourth international joint conference on artificial intelligence, 2015	46	2015
Feature selection guided auto-encoder S Wang, Z Ding, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	45	2017
Robust multiview data analysis through collective low-rank subspace Z Ding, Y Fu IEEE transactions on neural networks and learning systems 29 (5), 1986-1997, 2017	40	2017

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