Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery. - Fulin Luo; Hong Huang 002; Yule Duan; Jiamin Liu; Yinghua Liao (Remote. Sens., 2017)

Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification. - Hong Huang 002; Yule Duan; Guangyao Shi; Zhiyong Lv (IEEE Access, 2018)

Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding. - Hong Huang 002; Meili Chen; Yule Duan (Remote. Sens., 2019)

Multi-manifold locality graph preserving analysis for hyperspectral image classification. - Guangyao Shi; Hong Huang 002; Zhengying Li; Yule Duan (Neurocomputing, 2020)

DLPNet: A deep manifold network for feature extraction of hyperspectral imagery. - Zhengying Li; Hong Huang 002; Yule Duan; Guangyao Shi (Neural Networks, 2020)

Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery. - Hong Huang 002; Zhengying Li; Haibo He; Yule Duan; Song Yang (Pattern Recognit., 2020)

Adaptive Residual Convolutional Neural Network for Hyperspectral Image Classification. - Hong Huang 002; Chunyu Pu; Yuan Li 061; Yule Duan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning. - Hong Huang 002; Guangyao Shi; Haibo He; Yule Duan; Fulin Luo (IEEE Trans. Cybern., 2020)

Local Linear Spatial-Spectral Probabilistic Distribution for Hyperspectral Image Classification. - Hong Huang 002; Yule Duan; Haibo He; Guangyao Shi (IEEE Trans. Geosci. Remote. Sens., 2020)

Semisupervised Manifold Joint Hypergraphs for Dimensionality Reduction of Hyperspectral Image. - Yule Duan; Hong Huang 002; Yuxiao Tang; Yuan Li 061; Chunyu Pu (IEEE Geosci. Remote. Sens. Lett., 2021)

Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image. - Yule Duan; Hong Huang 002; Zhengying Li; Yuxiao Tang (IEEE Trans. Cybern., 2021)

Local Constraint-Based Sparse Manifold Hypergraph Learning for Dimensionality Reduction of Hyperspectral Image. - Yule Duan; Hong Huang 002; Yuxiao Tang (IEEE Trans. Geosci. Remote. Sens., 2021)

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. - Rui-Jie Zhu 003; Qihang Zhao; Tianjing Zhang; Haoyu Deng; Yule Duan; Malu Zhang; Liang-Jian Deng (CoRR, 2022)

Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs. - Yule Duan; Hong Huang 002; Tao Wang (IEEE Trans. Geosci. Remote. Sens., 2022)

Characters Are Like Faces. - Haoyu Deng; Zhaoteng Ye; Yule Duan (Tiny Papers @ ICLR, 2023)

Classification via Structure-Preserved Hypergraph Convolution Network for Hyperspectral Image. - Yule Duan; Fulin Luo; Maixia Fu; Yingying Niu; Xiuwen Gong (IEEE Trans. Geosci. Remote. Sens., 2023)

Infrared Small Target Detection via $L_{0}$ Sparse Gradient Regularized Tensor Spectral Support Low-Rank Decomposition. - Fei Zhou 006; Maixia Fu; Yule Duan; Yimian Dai; Yiquan Wu (IEEE Trans. Aerosp. Electron. Syst., 2023)

Rethinking Representation Learning-Based Hyperspectral Target Detection: A Hierarchical Representation Residual Feature-Based Method. - Tan Guo; Fulin Luo; Yule Duan; Xinjian Huang; Guangyao Shi (Remote. Sens., 2023)

Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening. - Yule Duan; Xiao Wu; Haoyu Deng; Liang-Jian Deng (CVPR, 2024)

Dimensionality Reduction via Local Structure-Aware Collaborative Graph Embedding for Hyperspectral Remote Sensing Image. - Yule Duan; Lele Zhang; Maixia Fu; Fei Zhou 006; Yinsheng Li (ICIGP, 2024)

Exploring the Low-Pass Filtering Behavior in Image Super-Resolution. - Haoyu Deng; Zijing Xu; Yule Duan; Xiao Wu; Wenjie Shu; Liang-Jian Deng (ICML, 2024)

Tensor decomposition based attention module for spiking neural networks. - Haoyu Deng; Rui-Jie Zhu 003; Xuerui Qiu; Yule Duan; Malu Zhang; Liang-Jian Deng (Knowl. Based Syst., 2024)

Hyperspectral Target Detection With Target Prior Augmentation and Background Suppression-Based Multidetector Fusion. - Tan Guo; Fulin Luo; Jiakun Guo; Yule Duan; Xinjian Huang; Guangyao Shi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

SDST: Self-Supervised Double-Structure Transformer for Hyperspectral Images Clustering. - Fulin Luo; Yi Liu; Yule Duan; Tan Guo; Lefei Zhang; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Dimensionality Reduction via Multiple Neighborhood-Aware Nonlinear Collaborative Analysis for Hyperspectral Image Classification. - Yule Duan; Chuang Chen; Maixia Fu; Yinsheng Li; Xiuwen Gong; Fulin Luo (IEEE Trans. Circuits Syst. Video Technol., 2024)

Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening. - Jie Huang 005; Rui Huang; Jinghao Xu; Siran Peng; Yule Duan; Liang-Jian Deng (AAAI, 2025)

PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening. - RuoCheng Wu; Zien Zhang; Shangqi Deng; Yule Duan; Liang-Jian Deng (AAAI, 2025)

Adaptive Rectangular Convolution for Remote Sensing Pansharpening. - Xueyang Wang; Zhixin Zheng; Jiandong Shao; Yule Duan; Liang-Jian Deng (CVPR, 2025)

MDGF-CD: Land-cover change detection with multi-level DiffFormer feature grouping fusion for VHR remote sensing images. - Jamin Liu; Rui Xu; Yule Duan; Tan Guo; Guangyao Shi; Fulin Luo (Inf. Fusion, 2025)

Spatial-Spectral Enhancement and Fusion Network for Hyperspectral Image Classification With Few Labeled Samples. - Shuang Liu; Chuan Fu; Yule Duan; Xiaopan Wang; Fulin Luo (IEEE Trans. Geosci. Remote. Sens., 2025)

MMD-MLP: LiDAR-Guided Hyperspectral Data Classification Using Local-Global Directional-MLP With Multiresolution Multiscale Representation. - Fulin Luo; Yiyan Hua; Chuan Fu; Tan Guo; Yule Duan; Guangyao Shi (IEEE Trans. Geosci. Remote. Sens., 2025)

GITANet: Group Interactive Threshold-Based Attention Network for Hyperspectral Image Classification. - Yule Duan; Chuang Chen; Maixia Fu; Xiuwen Gong; Yingying Niu; Fulin Luo (IEEE Trans. Multim., 2025)

Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening. - Jie Huang; Rui Huang; Jinghao Xu; Siran Peng; Yule Duan; Liangjian Deng (CoRR, 2025)

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. - Rui-Jie Zhu 003; Malu Zhang; Qihang Zhao; Haoyu Deng; Yule Duan; Liang-Jian Deng (IEEE Trans. Neural Networks Learn. Syst., 2025)