Two-stream feature aggregation deep neural network for scene classification of remote sensing images. - Kejie Xu; Hong Huang 002; Peifang Deng; Guangyao Shi (Inf. Sci., 2020)

Attention-based Deep Feature Learning Network for Scene Classification of Hyperspectral Images. - Kejie Xu; Hong Huang 002; Peifang Deng (ACSCC, 2021)

CNN-GCN Joint Network for Remote Sensing Scene Classification. - Kejie Xu; Hong Huang 002; Peifang Deng (IGARSS, 2021)

A Deep Neural Network Combined With Context Features for Remote Sensing Scene Classification. - Peifang Deng; Hong Huang 002; Kejie Xu (IEEE Geosci. Remote. Sens. Lett., 2022)

When CNNs Meet Vision Transformer: A Joint Framework for Remote Sensing Scene Classification. - Peifang Deng; Kejie Xu; Hong Huang 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Remote Sensing Image Scene Classification Based on Global-Local Dual-Branch Structure Model. - Kejie Xu; Hong Huang 002; Peifang Deng (IEEE Geosci. Remote. Sens. Lett., 2022)

Vision Transformer: An Excellent Teacher for Guiding Small Networks in Remote Sensing Image Scene Classification. - Kejie Xu; Peifang Deng; Hong Huang 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing. - Kejie Xu; Hong Huang 002; Peifang Deng; Yuan Li 061 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images. - Kejie Xu; Peifang Deng; Hong Huang 002 (IEEE Trans. Big Data, 2023)