Zhengming Ding

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Yun Raymond FuNEU, COE Distinguished Professor; MAE, FNAI, FAAAS, FIEEE, FSPIE, FOSA, FIAPRVerified email at neu.edu
Ming ShaoUMass Dartmouth (Associate Professor)Verified email at umassd.edu
Haifeng XiaTulane UniversityVerified email at tulane.edu
Hongfu LiuAssistant Professor of Computer Science, Brandeis UniversityVerified email at brandeis.edu
Handong ZhaoAdobe ResearchVerified email at ece.neu.edu
Taotao JingTulane UniversityVerified email at tulane.edu
Sheng LiQuantitative Foundation Associate Professor of Data Science, University of VirginiaVerified email at virginia.edu
Zhiqiang TaoAssistant Professor, Rochester Institute of TechnologyVerified email at rit.edu
Lichen WangApplied Scientist, ZillowVerified email at northeastern.edu
Chen ChenAssociate Professor, Center for Research in Computer Vision, University of Central FloridaVerified email at ucf.edu
Kai LiNEC Labs, AmericaVerified email at nec-labs.com
Renran TianNorth Carolina State UniversityVerified email at ncsu.edu
Shuyang WangNortheastern UniversityVerified email at ece.neu.edu
Jihun HammTulane UniversityVerified email at tulane.edu
shuhui jiangPhD in Northeastern UniversityVerified email at coe.neu.edu
Nasser M NasrabadiProfessor, ECE, Johns Hopkins UniversityVerified email at jhu.edu
Yulun ZhangAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Kunpeng LiResearch Scientist, Meta GenAIVerified email at meta.com
Qucheng PengUniversity of Central FloridaVerified email at ucf.edu
Yue WuMicrosoftVerified email at microsoft.com

Zhengming Ding

Assistant Professor of Computer Science, Tulane University

Verified email at tulane.edu - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
3d human pose estimation with spatial and temporal transformers C Zheng, S Zhu, M Mendieta, T Yang, C Chen, Z Ding Proceedings of the IEEE/CVF international conference on computer vision …, 2021	505	2021
Multi-view clustering via deep matrix factorization H Zhao, Z Ding, Y Fu Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017	498	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	379	2019
MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification T Wang, W Shao, Z Huang, H Tang, J Zhang, Z Ding, K Huang Nature Communications 12 (3445), 2021	329	2021
Maximum density divergence for domain adaptation J Li, E Chen, Z Ding, L Zhu, K Lu, HT Shen IEEE transactions on pattern analysis and machine intelligence 43 (11), 3918 …, 2020	300	2020
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	252	2018
Adaptive adversarial network for source-free domain adaptation H Xia, H Zhao, Z Ding Proceedings of the IEEE/CVF international conference on computer vision …, 2021	227	2021
Robust transfer metric learning for image classification Z Ding, Y Fu IEEE Transactions on Image Processing 26 (2), 660-670, 2016	179	2016
Deep residual correction network for partial domain adaptation S Li, CH Liu, Q Lin, Q Wen, L Su, G Huang, Z Ding IEEE transactions on pattern analysis and machine intelligence 43 (7), 2329-2344, 2020	165	2020
From ensemble clustering to multi-view clustering Z Tao, H Liu, S Li, Z Ding, Y Fu IJCAI, 2017	161	2017
Low-rank common subspace for multi-view learning Z Ding, Y Fu 2014 IEEE international conference on Data Mining, 110-119, 2014	157	2014
Partial multi-view clustering via consistent GAN Q Wang, Z Ding, Z Tao, Q Gao, Y Fu 2018 IEEE International Conference on Data Mining (ICDM), 1290-1295, 2018	152	2018
Where and how to transfer: Knowledge aggregation-induced transferability perception for unsupervised domain adaptation J Dong, Y Cong, G Sun, Z Fang, Z Ding IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1664-1681, 2021	146	2021
Deep domain generalization with structured low-rank constraint Z Ding, Y Fu IEEE Transactions on Image Processing 27 (1), 304-313, 2017	145	2017
Local learning matters: Rethinking data heterogeneity in federated learning M Mendieta, T Yang, P Wang, M Lee, Z Ding, C Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	142	2022
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	139	2017
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	135	2018
Generative multi-view human action recognition L Wang, Z Ding, Z Tao, Y Liu, Y Fu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	130	2019
Joint adversarial domain adaptation S Li, CH Liu, B Xie, L Su, Z Ding, G Huang Proceedings of the 27th ACM International Conference on Multimedia, 729-737, 2019	128	2019
Consensus regularized multi-view outlier detection H Zhao, H Liu, Z Ding, Y Fu IEEE Transactions on Image Processing 27 (1), 236-248, 2017	121	2017

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