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Guoqiang Zhong
Guoqiang Zhong
Department of Computer Science and Technology, Ocean University of China
在 ouc.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A review on the attention mechanism of deep learning
Z Niu, G Zhong, H Yu
Neurocomputing 452, 48-62, 2021
2902021
Prediction of sea surface temperature using long short-term memory
Q Zhang, H Wang, J Dong, G Zhong, X Sun
IEEE geoscience and remote sensing letters 14 (10), 1745-1749, 2017
2442017
An overview on data representation learning: From traditional feature learning to recent deep learning
G Zhong, LN Wang, X Ling, J Dong
The Journal of Finance and Data Science 2 (4), 265-278, 2016
1932016
Stock market prediction based on generative adversarial network
K Zhang, G Zhong, J Dong, S Wang, Y Wang
Procedia computer science 147, 400-406, 2019
1682019
Improving short text classification by learning vector representations of both words and hidden topics
H Zhang, G Zhong
Knowledge-Based Systems 102, 76-86, 2016
832016
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures
G Zhong, X Ling, LN Wang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (1 …, 2019
542019
Change detection in SAR images based on deep semi-NMF and SVD networks
F Gao, X Liu, J Dong, G Zhong, M Jian
Remote Sensing 9 (5), 435, 2017
412017
Reducing and stretching deep convolutional activation features for accurate image classification
G Zhong, S Yan, K Huang, Y Cai, J Dong
Cognitive Computation 10 (1), 179-186, 2018
372018
Low-rank tensor learning with discriminant analysis for action classification and image recovery
C Jia, G Zhong, Y Fu
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
372014
Error-correcting output codes based ensemble feature extraction
G Zhong, CL Liu
Pattern Recognition 46 (4), 1091-1100, 2013
342013
Low rank metric learning with manifold regularization
G Zhong, K Huang, CL Liu
2011 IEEE 11th International Conference on Data Mining, 1266-1271, 2011
322011
Adaptive Error-Correcting Output Codes.
G Zhong, M Cheriet
IJCAI, 1932-1938, 2013
312013
Gaussian process latent random field
G Zhong, WJ Li, DY Yeung, X Hou, CL Liu
Proceedings of the AAAI conference on artificial intelligence 24 (1), 679-684, 2010
312010
Deep hashing learning networks
G Zhong, H Xu, P Yang, S Wang, J Dong
2016 International Joint Conference on Neural Networks (IJCNN), 2236-2243, 2016
292016
Generative adversarial networks with decoder–encoder output noises
G Zhong, W Gao, Y Liu, Y Yang, DH Wang, K Huang
Neural Networks 127, 19-28, 2020
282020
Large Margin Low Rank Tensor Analysis
G Zhong, M Cheriet
Neural Computation 26 (4), 761-780, 2014
282014
Banzhaf random forests: Cooperative game theory based random forests with consistency
J Sun, G Zhong, K Huang, J Dong
Neural Networks 106, 20-29, 2018
272018
Stretching deep architectures for text recognition
Y Zheng, Y Cai, G Zhong, Y Chherawala, Y Shi, J Dong
2015 13th International Conference on Document Analysis and Recognition …, 2015
212015
Marginal deep architecture: Stacking feature learning modules to build deep learning models
G Zhong, K Zhang, H Wei, Y Zheng, J Dong
IEEE Access 7, 30220-30233, 2019
202019
Random multi-graphs: a semi-supervised learning framework for classification of high dimensional data
Q Zhang, J Sun, G Zhong, J Dong
Image and Vision Computing 60, 30-37, 2017
202017
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