| Learning to diversify deep belief networks for hyperspectral image classification P Zhong, Z Gong, S Li, CB Schönlieb IEEE Transactions on Geoscience and Remote Sensing 55 (6), 3516-3530, 2017 | 365 | 2017 |
| Diversity in machine learning Z Gong, P Zhong, W Hu Ieee Access 7, 64323-64350, 2019 | 291 | 2019 |
| A CNN with multiscale convolution and diversified metric for hyperspectral image classification Z Gong, P Zhong, Y Yu, W Hu, S Li IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3599-3618, 2019 | 235 | 2019 |
| Unsupervised representation learning with deep convolutional neural network for remote sensing images Y Yu, Z Gong, P Zhong, J Shan Image and Graphics: 9th International Conference, ICIG 2017, Shanghai, China …, 2017 | 175 | 2017 |
| Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data X Zhao, Z Gong, Y Zhang, W Yao, X Chen Engineering Applications of Artificial Intelligence 117, 105516, 2023 | 105 | 2023 |
| Fca: Learning a 3d full-coverage vehicle camouflage for multi-view physical adversarial attack D Wang, T Jiang, J Sun, W Zhou, Z Gong, X Zhang, W Yao, X Chen Proceedings of the AAAI conference on artificial intelligence 36 (2), 2414-2422, 2022 | 98 | 2022 |
| Diversity-promoting deep structural metric learning for remote sensing scene classification Z Gong, P Zhong, Y Yu, W Hu IEEE Transactions on Geoscience and Remote Sensing 56 (1), 371-390, 2017 | 89 | 2017 |
| An unsupervised convolutional feature fusion network for deep representation of remote sensing images Y Yu, Z Gong, C Wang, P Zhong IEEE Geoscience and Remote Sensing Letters 15 (1), 23-27, 2017 | 69 | 2017 |
| Statistical loss and analysis for deep learning in hyperspectral image classification Z Gong, P Zhong, W Hu IEEE transactions on neural networks and learning systems 32 (1), 322-333, 2020 | 61 | 2020 |
| Temperature field inversion of heat-source systems via physics-informed neural networks X Liu, W Peng, Z Gong, W Zhou, W Yao Engineering Applications of Artificial Intelligence 113, 104902, 2022 | 50 | 2022 |
| A deep neural network surrogate modeling benchmark for temperature field prediction of heat source layout X Chen, X Zhao, Z Gong, J Zhang, W Zhou, X Chen, W Yao Science China Physics, Mechanics & Astronomy 64 (11), 1, 2021 | 47 | 2021 |
| Multiple instance learning for multiple diverse hyperspectral target characterizations P Zhong, Z Gong, J Shan IEEE transactions on neural networks and learning systems 31 (1), 246-258, 2019 | 36 | 2019 |
| A surrogate model with data augmentation and deep transfer learning for temperature field prediction of heat source layout X Zhao, Z Gong, J Zhang, W Yao, X Chen Structural and Multidisciplinary Optimization 64 (4), 2287-2306, 2021 | 33 | 2021 |
| Multi-fidelity prediction of fluid flow based on transfer learning using Fourier neural operator Y Lyu, X Zhao, Z Gong, X Kang, W Yao Physics of Fluids 35 (7), 2023 | 32 | 2023 |
| A deep learning method based on partition modeling for reconstructing temperature field X Peng, X Li, Z Gong, X Zhao, W Yao International Journal of Thermal Sciences 182, 107802, 2022 | 31 | 2022 |
| A machine learning surrogate modelling benchmark for temperature field reconstruction of heat-source systems X Chen, Z Gong, X Zhao, W Zhou, W Yao Science China Information Sciences, 2021 | 28* | 2021 |
| An unmixing-based network for underwater target detection from hyperspectral imagery J Qi, Z Gong, W Xue, X Liu, A Yao, P Zhong IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 28 | 2021 |
| Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network Y Zhang, Z Gong, W Zhou, X Zhao, X Zheng, W Yao Engineering Applications of Artificial Intelligence 123, 106354, 2023 | 27 | 2023 |
| Deep manifold embedding for hyperspectral image classification Z Gong, W Hu, X Du, P Zhong, P Hu IEEE Transactions on Cybernetics 52 (10), 10430-10443, 2021 | 26 | 2021 |
| Joint learning of the center points and deep metrics for land-use classification in remote sensing Z Gong, P Zhong, W Hu, Y Hua Remote Sensing 11 (1), 76, 2019 | 24 | 2019 |
Ping ZhongNational university of defense technologyPreverjeni e-poštni naslov na nudt.edu.cn
