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Zhihong Zhang
Zhihong Zhang
Geverifieerd e-mailadres voor xmu.edu.cn
Titel
Geciteerd door
Geciteerd door
Jaar
Attribute-enhanced face recognition with neural tensor fusion networks
G Hu, Y Hua, Y Yuan, Z Zhang, Z Lu, SS Mukherjee, TM Hospedales, ...
Proceedings of the IEEE International Conference on Computer Vision, 3744-3753, 2017
872017
Joint hypergraph learning and sparse regression for feature selection
Z Zhang, L Bai, Y Liang, E Hancock
Pattern Recognition 63, 291-309, 2017
752017
A graph-based approach to feature selection
Z Zhang, ER Hancock
International workshop on graph-based representations in pattern recognition …, 2011
652011
Semisupervised hyperspectral band selection via spectral–spatial hypergraph model
X Bai, Z Guo, Y Wang, Z Zhang, J Zhou
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
642015
Quantum-based subgraph convolutional neural networks
Z Zhang, D Chen, J Wang, L Bai, ER Hancock
Pattern Recognition 88, 38-49, 2019
602019
An aligned subtree kernel for weighted graphs
L Bai, L Rossi, Z Zhang, E Hancock
International Conference on Machine Learning, 30-39, 2015
592015
Deep stock representation learning: From candlestick charts to investment decisions
G Hu, Y Hu, K Yang, Z Yu, F Sung, Z Zhang, F Xie, J Liu, N Robertson, ...
2018 IEEE international conference on acoustics, speech and signal …, 2018
572018
Learning EEG topographical representation for classification via convolutional neural network
M Xu, J Yao, Z Zhang, R Li, B Yang, C Li, J Li, J Zhang
Pattern Recognition 105, 107390, 2020
562020
Deep multi-task learning to recognise subtle facial expressions of mental states
G Hu, L Liu, Y Yuan, Z Yu, Y Hua, Z Zhang, F Shen, L Shao, ...
Proceedings of the European conference on computer vision (ECCV), 103-119, 2018
492018
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
L Zhou, Q Mao, X Huang, F Zhang, Z Zhang
Pattern Recognition 122, 108275, 2022
472022
Hypergraph based information-theoretic feature selection
Z Zhang, ER Hancock
Pattern Recognition Letters 33 (15), 1991-1999, 2012
462012
Face frontalization using an appearance-flow-based convolutional neural network
Z Zhang, X Chen, B Wang, G Hu, W Zuo, ER Hancock
IEEE Transactions on Image Processing 28 (5), 2187-2199, 2018
452018
Quantum kernels for unattributed graphs using discrete-time quantum walks
L Bai, L Rossi, L Cui, Z Zhang, P Ren, X Bai, E Hancock
Pattern Recognition Letters 87, 96-103, 2017
352017
Entropic dynamic time warping kernels for co-evolving financial time series analysis
L Bai, L Cui, Z Zhang, L Xu, Y Wang, ER Hancock
IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1808-1822, 2020
332020
Depth-based subgraph convolutional auto-encoder for network representation learning
Z Zhang, D Chen, Z Wang, H Li, L Bai, ER Hancock
Pattern Recognition 90, 363-376, 2019
312019
High-order covariate interacted Lasso for feature selection
Z Zhang, Y Tian, L Bai, J Xiahou, E Hancock
Pattern Recognition Letters 87, 139-146, 2017
282017
A hypergraph based semi-supervised band selection method for hyperspectral image classification
Z Guo, X Bai, Z Zhang, J Zhou
2013 IEEE International Conference on Image Processing, 3137-3141, 2013
282013
H-Net: Neural Network for Cross-domain Image Patch Matching.
W Liu, X Shen, C Wang, Z Zhang, C Wen, J Li
IJCAI, 856-863, 2018
272018
A Graph Kernel based on Jensen-Shannon Representation
L Bai, Z Zhang, ER Hancock
International Joint Conference on Artificial Intelligence (IJCAI), 2015
232015
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models
Z Guo, H Yang, X Bai, Z Zhang, J Zhou
2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 1474 …, 2013
222013
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Artikelen 1–20