| Unsupervised band selection based on evolutionary multiobjective optimization for hyperspectral images M Gong, M Zhang, Y Yuan IEEE Transactions on Geoscience and Remote Sensing 54 (1), 544-557, 2015 | 164 | 2015 |
| Unsupervised feature extraction in hyperspectral images based on Wasserstein generative adversarial network M Zhang, M Gong, Y Mao, J Li, Y Wu IEEE Transactions on Geoscience and Remote Sensing 57 (5), 2669-2688, 2018 | 109 | 2018 |
| Unsupervised hyperspectral band selection by fuzzy clustering with particle swarm optimization M Zhang, J Ma, M Gong IEEE Geoscience and Remote Sensing Letters 14 (5), 773-777, 2017 | 94 | 2017 |
| HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images H Zheng, M Gong, T Liu, F Jiang, T Zhan, D Lu, M Zhang Pattern Recognition 129, 108717, 2022 | 82 | 2022 |
| Building change detection for VHR remote sensing images via local–global pyramid network and cross-task transfer learning strategy T Liu, M Gong, D Lu, Q Zhang, H Zheng, F Jiang, M Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 68 | 2021 |
| Unsupervised hyperspectral image band selection via column subset selection C Wang, M Gong, M Zhang, Y Chan IEEE Geoscience and Remote Sensing Letters 12 (7), 1411-1415, 2015 | 68 | 2015 |
| Hyperspectral band selection based on multi-objective optimization with high information and low redundancy M Zhang, M Gong, Y Chan Applied Soft Computing 70, 604-621, 2018 | 66 | 2018 |
| Deep learning and mapping based ternary change detection for information unbalanced images L Su, M Gong, P Zhang, M Zhang, J Liu, H Yang Pattern Recognition 66, 213-228, 2017 | 63 | 2017 |
| Multi-objective optimization for location-based and preferences-aware recommendation S Wang, M Gong, Y Wu, M Zhang Information Sciences 513, 614-626, 2020 | 49 | 2020 |
| A spectral and spatial attention network for change detection in hyperspectral images M Gong, F Jiang, AK Qin, T Liu, T Zhan, D Lu, H Zheng, M Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 47 | 2021 |
| Unsupervised scale-driven change detection with deep spatial–spectral features for VHR images T Zhan, M Gong, X Jiang, M Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5653-5665, 2020 | 42 | 2020 |
| RORNet: Partial-to-partial registration network with reliable overlapping representations Y Wu, Y Zhang, W Ma, M Gong, X Fan, M Zhang, AK Qin, Q Miao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 40 | 2023 |
| Self-supervised monocular depth estimation with multiscale perception Y Zhang, M Gong, J Li, M Zhang, F Jiang, H Zhao IEEE transactions on image processing 31, 3251-3266, 2022 | 37 | 2022 |
| A coupling translation network for change detection in heterogeneous images M Gong, X Niu, T Zhan, M Zhang International journal of remote sensing 40 (9), 3647-3672, 2019 | 35 | 2019 |
| A two-phase multiobjective sparse unmixing approach for hyperspectral data X Jiang, M Gong, H Li, M Zhang, J Li IEEE Transactions on Geoscience and Remote Sensing 56 (1), 508-523, 2017 | 35 | 2017 |
| Symmetric all convolutional neural-network-based unsupervised feature extraction for hyperspectral images classification M Zhang, M Gong, H He, S Zhu IEEE Transactions on Cybernetics 52 (5), 2981-2993, 2020 | 34 | 2020 |
| Two-path aggregation attention network with quad-patch data augmentation for few-shot scene classification M Gong, J Li, Y Zhang, Y Wu, M Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 26 | 2022 |
| Spatially self-paced convolutional networks for change detection in heterogeneous images H Li, M Gong, M Zhang, Y Wu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 26 | 2021 |
| Multiform ensemble self-supervised learning for few-shot remote sensing scene classification J Li, M Gong, H Liu, Y Zhang, M Zhang, Y Wu IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 23 | 2023 |
| Evolutionary multi-task learning for modular extremal learning machine Z Tang, M Gong, M Zhang 2017 IEEE Congress on Evolutionary Computation (CEC), 474-479, 2017 | 23 | 2017 |
Maoguo Gong （公茂果）Professor, Xidian University, Xi'an, China （西安电子科技大学 教授）在 ieee.org 的电子邮件经过验证
