Spectral–spatial graph convolutional networks for semisupervised hyperspectral image classification A Qin, Z Shang, J Tian, Y Wang, T Zhang, YY Tang IEEE Geoscience and Remote Sensing Letters 16 (2), 241-245, 2019 | 328 | 2019 |
Siamese dense neural network for software defect prediction with small data L Zhao, Z Shang, L Zhao, A Qin, YY Tang IEEE Access 7, 7663-7677, 2018 | 54 | 2018 |
Infrared and visible cross-modal image retrieval through shared features F Liu, C Gao, Y Sun, Y Zhao, F Yang, A Qin, D Meng IEEE Transactions on circuits and systems for video technology 31 (11), 4485 …, 2021 | 26 | 2021 |
Learning the distribution preserving semantic subspace for clustering J Tian, T Zhang, A Qin, Z Shang, YY Tang IEEE Transactions on Image Processing 26 (12), 5950-5965, 2017 | 23 | 2017 |
A multiscale image denoising algorithm based on dilated residual convolution network C Liu, Z Shang, A Qin Image and Graphics Technologies and Applications: 14th Conference on Image …, 2019 | 22 | 2019 |
Distance constraint-based generative adversarial networks for hyperspectral image classification A Qin, Z Tan, R Wang, Y Sun, F Yang, Y Zhao, C Gao IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 17 | 2023 |
Spectral-Spatial Sparse Subspace Clustering Based on Three-dimensional Edge-preserving Filtering for Hyperspectral Image A Li, A Qin, Z Shang, YY Tang International Journal of Pattern Recognition and Artificial Intelligence, 2018 | 17 | 2018 |
Accurate instance segmentation for remote sensing images via adaptive and dynamic feature learning F Yang, X Yuan, J Ran, W Shu, Y Zhao, A Qin, C Gao Remote Sensing 13 (23), 4774, 2021 | 7 | 2021 |
A cost-sensitive meta-learning classifier: SPFCNN-Miner L Zhao, Z Shang, A Qin, T Zhang, L Zhao, Y Wei, YY Tang Future Generation Computer Systems 100, 1031-1043, 2019 | 7 | 2019 |
Edge-smoothing-based distribution preserving hyperspherical embedding for hyperspectral image classification A Qin, Z Shang, J Tian, T Zhang, YY Tang, J Qian IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 6 | 2018 |
Distribution preserving-based deep semi-NMF for data representation A Qin, Z Tan, X Tan, Y Wu, C Jing, YY Tang Neurocomputing 524, 69-83, 2023 | 5 | 2023 |
Adaptive fusion and mask refinement instance segmentation network for high resolution remote sensing images J Ran, F Yang, C Gao, Y Zhao, A Qin IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 5 | 2020 |
Deep Updated Subspace Networks for Few-Shot Remote Sensing Scene Classification A Qin, F Chen, Q Li, L Tang, F Yang, Y Zhao, C Gao IEEE Transactions on Geoscience and Remote Sensing, 2024 | 4 | 2024 |
Spatial Distribution Preserving-Based Sparse Subspace Clustering for Hyperspectral Image Y Ding, A Qin, Z Shang, J Qian International Journal of Wavelets, Multiresolution and Information Processing, 2018 | 4 | 2018 |
Maximum correntropy criterion for convex and semi-nonnegative matrix factorization A Qin, Z Shang, J Tian, A Li, Y Wang, YY Tang Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on …, 2017 | 4 | 2017 |
Active learning for hyperspectral image classification via hypergraph neural network Y Sun, A Qin, Y Bandoh, C Gao, Y Hiwasaki 2022 IEEE International Conference on Image Processing (ICIP), 2576-2580, 2022 | 3 | 2022 |
Distribution preserving deep semi-nonnegative matrix factorization Z Tan, A Qin, Y Sun, YY Tang 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 3 | 2021 |
Low-Rank Matrix Recovery from Noise via an MDL Framework-based Atomic Norm A Qin, L Xian, Y Yang, T Zhang, YY Tang Sensors 20 (21), 1-21, 2020 | 3 | 2020 |
Layer-wise mutual information meta-learning network for few-shot segmentation X Luo, Z Duan, A Qin, Z Tian, T Xie, T Zhang, YY Tang IEEE Transactions on Neural Networks and Learning Systems, 2024 | 2 | 2024 |
Few-shot remote sensing scene classification via subspace based on multiscale feature learning A Qin, F Chen, Q Li, T Song, Y Zhao, C Gao IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 1 | 2024 |