LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks. - Aili Wang 001; Xin He 004; Pedram Ghamisi; Yushi Chen (IEEE Geosci. Remote. Sens. Lett., 2018)

Optimized Input for CNN-Based Hyperspectral Image Classification Using Spatial Transformer Network. - Xin He 004; Yushi Chen (IEEE Geosci. Remote. Sens. Lett., 2019)

LiDAR Data Classification Using Spatial Transformation and CNN. - Xin He 004; Aili Wang 001; Pedram Ghamisi; Guoyu Li; Yushi Chen (IEEE Geosci. Remote. Sens. Lett., 2019)

Deep Learning Ensemble for Hyperspectral Image Classification. - Yushi Chen; Ying Wang 028; Yanfeng Gu; Xin He 004; Pedram Ghamisi; Xiuping Jia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification. - Yushi Chen; Kaiqiang Zhu; Lin Zhu 013; Xin He 004; Pedram Ghamisi; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2019)

Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network. - Xin He 004; Yushi Chen; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2020)

Boosting CNN for Hyperspectral Image Classification. - Haoyu Zhang; Yushi Chen; Xin He 004; Xingliang Shen (IGARSS, 2021)

Transferring CNN Ensemble for Hyperspectral Image Classification. - Xin He 004; Yushi Chen (IEEE Geosci. Remote. Sens. Lett., 2021)

Modifications of the Multi-Layer Perceptron for Hyperspectral Image Classification. - Xin He 004; Yushi Chen (Remote. Sens., 2021)

Spatial-Spectral Transformer for Hyperspectral Image Classification. - Xin He 004; Yushi Chen; Zhouhan Lin (Remote. Sens., 2021)

Weakly Supervised Classification of Hyperspectral Image Based on Complementary Learning. - Lingbo Huang; Yushi Chen; Xin He 004 (Remote. Sens., 2021)

Two-Branch Pure Transformer for Hyperspectral Image Classification. - Xin He 004; Yushi Chen; Qingyun Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Soft Augmentation-Based Siamese CNN for Hyperspectral Image Classification With Limited Training Samples. - Weiquan Wang; Yushi Chen; Xin He 004; Zhaokui Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Supervised Contrastive Learning-Based Classification for Hyperspectral Image. - Lingbo Huang; Yushi Chen; Xin He 004; Pedram Ghamisi (Remote. Sens., 2022)

Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples. - Xin He 004; Yushi Chen; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Toward a Trustworthy Classifier With Deep CNN: Uncertainty Estimation Meets Hyperspectral Image. - Xin He 004; Yushi Chen; Lingbo Huang (IEEE Trans. Geosci. Remote. Sens., 2022)

Bayesian Deep Learning for Hyperspectral Image Classification With Low Uncertainty. - Xin He 004; Yushi Chen; Lingbo Huang (IEEE Trans. Geosci. Remote. Sens., 2023)

Spectral-Spatial Masked Transformer With Supervised and Contrastive Learning for Hyperspectral Image Classification. - Lingbo Huang; Yushi Chen; Xin He 004 (IEEE Trans. Geosci. Remote. Sens., 2023)

Swin Transformer with Improved Blind-Spot Network for SAR Target Classification. - Xin He 004; Yushi Chen; Lingbo Huang; Menglu Zhang (IGARSS, 2024)

An Ensemble Learning-Based Transformer for Radar Jamming Recognition with Insufficient Samples. - Menglu Zhang; Xin He 004; Yushi Chen; Ye Zhang 008 (IGARSS, 2024)

Foundation Model-Based Multimodal Remote Sensing Data Classification. - Xin He 004; Yushi Chen; Lingbo Huang; Danfeng Hong; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Foundation Model-Based Spectral-Spatial Transformer for Hyperspectral Image Classification. - Lingbo Huang; Yushi Chen; Xin He 004 (IEEE Trans. Geosci. Remote. Sens., 2024)

Co-Training Transformer for Remote Sensing Image Classification, Segmentation, and Detection. - Qingyun Li; Yushi Chen; Xin He 004; Lingbo Huang (IEEE Trans. Geosci. Remote. Sens., 2024)

Spectral-Spatial Mamba for Hyperspectral Image Classification. - Lingbo Huang; Yushi Chen; Xin He 004 (Remote. Sens., 2024)