Следене
Chang Tang
Chang Tang
Senior Member of IEEE/CCF, School of Computer Science, China University of Geosciences, Wuhan, China
Потвърден имейл адрес: cug.edu.cn - Начална страница
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Позовавания
Позовавания
Година
Action Recognition From Depth Maps Using Deep Convolutional Neural Networks
P Wang, W Li, Z Gao, J Zhang, C Tang, P Ogunbona
IEEE Transactions on Human-Machine Systems, 1-12, 2015
3502015
Late fusion incomplete multi-view clustering
X Liu, X Zhu, M Li, L Wang, C Tang, J Yin, D Shen, H Wang, W Gao
IEEE transactions on pattern analysis and machine intelligence 41 (10), 2410 …, 2018
3172018
RGB-D-based action recognition datasets: A survey
J Zhang, W Li, PO Ogunbona, P Wang, C Tang
Pattern Recognition 60, 86-105, 2016
3032016
Learning a joint affinity graph for multiview subspace clustering
C Tang, X Zhu, X Liu, M Li, P Wang, C Zhang, L Wang
IEEE Transactions on Multimedia 21 (7), 1724-1736, 2018
2652018
Efficient and effective regularized incomplete multi-view clustering
X Liu, M Li, C Tang, J Xia, J Xiong, L Liu, M Kloft, E Zhu
IEEE transactions on pattern analysis and machine intelligence 43 (8), 2634-2646, 2020
2512020
Multi-view clustering via late fusion alignment maximization.
S Wang, X Liu, E Zhu, C Tang, J Liu, J Hu, J Xia, J Yin
IJCAI, 3778-3784, 2019
2232019
Consensus graph learning for multi-view clustering
Z Li, C Tang, X Liu, X Zheng, W Zhang, E Zhu
IEEE Transactions on Multimedia 24, 2461-2472, 2021
1972021
Unified one-step multi-view spectral clustering
C Tang, Z Li, J Wang, X Liu, W Zhang, E Zhu
IEEE Transactions on Knowledge and Data Engineering 35 (6), 6449-6460, 2022
1762022
CGD: Multi-view clustering via cross-view graph diffusion
C Tang, X Liu, X Zhu, E Zhu, Z Luo, L Wang, W Gao
Proceedings of the AAAI conference on artificial intelligence 34 (04), 5924-5931, 2020
1732020
Depth pooling based large-scale 3-d action recognition with convolutional neural networks
P Wang, W Li, Z Gao, C Tang, PO Ogunbona
IEEE Transactions on Multimedia 20 (5), 1051-1061, 2018
1732018
Cross-view locality preserved diversity and consensus learning for multi-view unsupervised feature selection
C Tang, X Zheng, X Liu, W Zhang, J Zhang, J Xiong, L Wang
IEEE Transactions on Knowledge and Data Engineering 34 (10), 4705-4716, 2021
1712021
Scene flow to action map: A new representation for rgb-d based action recognition with convolutional neural networks
P Wang, W Li, Z Gao, Y Zhang, C Tang, P Ogunbona
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1692017
A network traffic forecasting method based on SA optimized ARIMA–BP neural network
H Yang, X Li, W Qiang, Y Zhao, W Zhang, C Tang
Computer Networks 193, 108102, 2021
1632021
Feature selective projection with low-rank embedding and dual Laplacian regularization
C Tang, X Liu, X Zhu, J Xiong, M Li, J Xia, X Wang, L Wang
IEEE Transactions on Knowledge and Data Engineering 32 (9), 1747-1760, 2019
1422019
Robust unsupervised feature selection via dual self-representation and manifold regularization
C Tang, X Liu, M Li, P Wang, J Chen, L Wang, W Li
Knowledge-Based Systems 145, 109-120, 2018
1242018
ConvNets-Based Action Recognition from Depth Maps Through Virtual Cameras and Pseudocoloring
P Wang, W Li, Z Gao, C Tang, J Zhang, P Ogunbona
ACM Conference on Multimedia, 2015
1192015
Large-scale isolated gesture recognition using convolutional neural networks
P Wang, W Li, S Liu, Z Gao, C Tang, P Ogunbona
2016 23rd international conference on pattern recognition (ICPR), 7-12, 2016
1152016
Beyond Covariance: Feature Representation with Nonlinear Kernel matrices
W Lei, Z Jianjia, Z Luping, T Chang, L Wanqing
Proceedings of the IEEE International Conference on Computer Vision, 4570-4578, 2015
1112015
Defocus map estimation from a single image via spectrum contrast
C Tang, C Hou, Z Song
Optics Letters 38 (10), 1706-1708, 2013
1102013
Unsupervised feature selection via latent representation learning and manifold regularization
C Tang, M Bian, X Liu, M Li, H Zhou, P Wang, H Yin
Neural Networks 117, 163-178, 2019
1082019
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