A review on the attention mechanism of deep learning Z Niu, G Zhong, H Yu Neurocomputing 452, 48-62, 2021 | 1576 | 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 | 378 | 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 | 289 | 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 | 248 | 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 | 98 | 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 | 94 | 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 | 56 | 2017 |
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 | 43 | 2020 |
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 | 43 | 2018 |
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 | 41 | 2018 |
Error-correcting output codes based ensemble feature extraction G Zhong, CL Liu Pattern Recognition 46 (4), 1091-1100, 2013 | 39 | 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 | 38 | 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 | 35 | 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 | 35 | 2010 |
Adaptive error-correcting output codes G Zhong, M Cheriet Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 34 | 2013 |
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 | 33 | 2016 |
Low rank metric learning with manifold regularization G Zhong, K Huang, CL Liu 2011 IEEE 11th International Conference on Data Mining, 1266-1271, 2011 | 32 | 2011 |
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 | 30 | 2019 |
Comparative analysis of three methods for HYSPLIT atmospheric trajectories clustering L Cui, X Song, G Zhong Atmosphere 12 (6), 698, 2021 | 29 | 2021 |
Large Margin Low Rank Tensor Analysis G Zhong, M Cheriet Neural Computation 26 (4), 761-780, 2014 | 29 | 2014 |