| A review on the attention mechanism of deep learning Z Niu, G Zhong, H Yu Neurocomputing 452, 48-62, 2021 | 3637 | 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 | 534 | 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 | 410 | 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 | 344 | 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 | 122 | 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 | 103 | 2016 |
| Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data Z Niu, G Zhong, G Yue, LN Wang, H Yu, X Ling, J Dong Neurocomputing 517, 1-9, 2023 | 89 | 2023 |
| Quantum recurrent neural networks for sequential learning Y Li, Z Wang, R Han, S Shi, J Li, R Shang, H Zheng, G Zhong, Y Gu Neural Networks 166, 148-161, 2023 | 66 | 2023 |
| 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 | 65 | 2018 |
| 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 | 65 | 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 | 64 | 2020 |
| 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 | 61 | 2020 |
| Comparative analysis of three methods for HYSPLIT atmospheric trajectories clustering L Cui, X Song, G Zhong Atmosphere 12 (6), 698, 2021 | 56 | 2021 |
| Multi-parameter demodulation for temperature, salinity and pressure sensor in seawater based on the semi-encapsulated microfiber Mach-Zehnder interferometer J Liu, Y Hou, J Wang, G Zhong, L Zhang, F Zhuang, L Yu, S Wang Measurement 196, 111213, 2022 | 52 | 2022 |
| Textgt: A double-view graph transformer on text for aspect-based sentiment analysis S Yin, G Zhong Proceedings of the AAAI conference on artificial intelligence 38 (17), 19404 …, 2024 | 46 | 2024 |
| Adaptive Gabor convolutional networks Y Yuan, LN Wang, G Zhong, W Gao, W Jiao, J Dong, B Shen, D Xia, ... Pattern Recognition 124, 108495, 2022 | 41 | 2022 |
| 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 | 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 |
| Adaptive Error-Correcting Output Codes. G Zhong, M Cheriet IJCAI, 1932-1938, 2013 | 35 | 2013 |
Junyu DongOcean University of ChinaVerified email at ouc.edu.cn
