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Zhengming Ding
Zhengming Ding
Assistant Professor of Computer Science, Tulane University
Verified email at tulane.edu - Homepage
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
5422021
Multi-view clustering via deep matrix factorization
H Zhao, Z Ding, Y Fu
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
5192017
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
3902019
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
3622021
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
3122020
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
2562018
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
2372021
Robust transfer metric learning for image classification
Z Ding, Y Fu
IEEE Transactions on Image Processing 26 (2), 660-670, 2016
1802016
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
1732020
From ensemble clustering to multi-view clustering
Z Tao, H Liu, S Li, Z Ding, Y Fu
IJCAI, 2017
1602017
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
1592022
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
1592018
Low-rank common subspace for multi-view learning
Z Ding, Y Fu
2014 IEEE international conference on Data Mining, 110-119, 2014
1572014
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
1522021
Deep domain generalization with structured low-rank constraint
Z Ding, Y Fu
IEEE Transactions on Image Processing 27 (1), 304-313, 2017
1482017
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
1412018
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
1392017
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
1332019
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
1282019
Consensus regularized multi-view outlier detection
H Zhao, H Liu, Z Ding, Y Fu
IEEE Transactions on Image Processing 27 (1), 236-248, 2017
1232017
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