Guoqiang Zhong
Guoqiang Zhong
Department of Computer Science and Technology, Ocean University of China
Verified email at - Homepage
Cited by
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A review on the attention mechanism of deep learning
Z Niu, G Zhong, H Yu
Neurocomputing 452, 48-62, 2021
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
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
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
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
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
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
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
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
Reducing and stretching deep convolutional activation features for accurate image classification
G Zhong, S Yan, K Huang, Y Cai, J Dong
Cognitive Computation 10, 179-186, 2018
Error-correcting output codes based ensemble feature extraction
G Zhong, CL Liu
Pattern Recognition 46 (4), 1091-1100, 2013
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
Random shapley forests: cooperative game-based random forests with consistency
J Sun, H Yu, G Zhong, J Dong, S Zhang, H Yu
IEEE transactions on cybernetics 52 (1), 205-214, 2020
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
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
Adaptive error-correcting output codes
G Zhong, M Cheriet
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
Low rank metric learning with manifold regularization
G Zhong, K Huang, CL Liu
2011 IEEE 11th International Conference on Data Mining, 1266-1271, 2011
Comparative analysis of three methods for HYSPLIT atmospheric trajectories clustering
L Cui, X Song, G Zhong
Atmosphere 12 (6), 698, 2021
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
Large Margin Low Rank Tensor Analysis
G Zhong, M Cheriet
Neural Computation 26 (4), 761-780, 2014
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