Novel Data Classification Method Based on Radial Basis Function Networks. - Xiaorun Li; Guangzhou Zhao; Liaoying Zhao (ISDA (1), 2006)

Novel Design of Decision-Tree-Based Support Vector Machines Multi-class Classifier. - Liaoying Zhao; Xiaorun Li; Guangzhou Zhao (ICIC (2), 2007)

Kernel Oblique Subspace Projection Approach for Target Detection in Hyperspectral Imagery. - Liaoying Zhao; Yinhe Shen; Xiaorun Li (AICI (1), 2010)

A Kernel Spatial Complexity-Based Nonlinear Unmixing Method of Hyperspectral Imagery. - Xiaoming Wu; Xiaorun Li; Liaoying Zhao (LSMS/ICSEE, 2010)

Automatic remote sensing image registration based on VTS-PCMIC algorithm. - Ting Yu; Xiaorun Li (FSKD, 2012)

Linear Mixture Analysis for Hyperspectral Imagery in the Presence of Less Prevalent Materials. - Jiantao Cui; Xiaorun Li; Liaoying Zhao (IEEE Trans. Geosci. Remote. Sens., 2013)

Nonlinear Spectral Mixture Analysis by Determining Per-Pixel Endmember Sets. - Jiantao Cui; Xiaorun Li; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2014)

Blind nonlinear hyperspectral unmixing based on constrained kernel nonnegative matrix factorization. - Xiaorun Li; Jiantao Cui; Liaoying Zhao (Signal Image Video Process., 2014)

Multi-source remote sensing image registration based on sift and optimization of local self-similarity mutual information. - Shuhan Chen; Xiaorun Li; Liaoying Zhao (IGARSS, 2016)

Incremental kernel non-negative matrix factorization for hyperspectral unmixing. - Risheng Huang; Xiaorun Li; Liaoying Zhao (IGARSS, 2016)

Unsupervised nonlinear hyperspectral unmixing based on the generalized bilinear model. - Jing Li; Xiaorun Li; Liaoying Zhao (IGARSS, 2016)

An advanced hyperspectral band selection approach based on mutual information. - Wenqiang Zhang; Xiaorun Li; Liaoying Zhao (IGARSS, 2016)

Fast implementation of kernel simplex volume analysis based on modified Cholesky factorization for endmember extraction. - Jing Li; Xiaorun Li; Lijiao Wang; Liaoying Zhao (Frontiers Inf. Technol. Electron. Eng., 2016)

Hopfield Neural Network Approach for Supervised Nonlinear Spectral Unmixing. - Jing Li; Xiaorun Li; Bormin Huang; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2016)

A novel local pettern based self-similarity descriptor for multisource remote sensing image registration. - Shuhan Chen; Xiaorun Li; Liaoying Zhao (IGARSS, 2017)

Nonnegative matrix factorization with data-guided constraints. - Risheng Huang; Xiaorun Li; Liaoying Zhao (IGARSS, 2017)

A novel Bayesian lasso model based on spatial-correlated sparsity for semisupervised hyperspectral unmixing. - Huiyun Jiao; Risheng Huang; Xiaorun Li; Liaoying Zhao (IGARSS, 2017)

Hyperspectral unmixing via projected mini-batch gradient descent. - Jing Li; Xiaorun Li; Liaoying Zhao (IGARSS, 2017)

Unmixing of large-scale hyperspectral data based on projected mini-batch gradient descent. - Jing Li; Xiaorun Li; Liaoying Zhao (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Subpixel Mapping Method of Hyperspectral Images Based on Modified Binary Quantum Particle Swarm Optimization. - Shuhan Chen; Xiaorun Li; Liaoying Zhao (J. Electr. Comput. Eng., 2017)

Nonnegative Matrix Factorization With Data-Guided Constraints For Hyperspectral Unmixing. - Risheng Huang; Xiaorun Li; Liaoying Zhao (Remote. Sens., 2017)

基于逐像素递归处理的高光谱实时亚像元目标检测 (Real-time Sub-pixel Object Detection for Hyperspectral Image Based on Pixel-by-pixel Processing). - Weijun Lin; Liaoying Zhao; Xiaorun Li (计算机科学, 2018)

A Fast Hyperspectral Feature Selection Method Based on Band Correlation Analysis. - Wenqiang Zhang; Xiaorun Li; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2018)

Infrared Small Target Detection via Modified Random Walks. - Chaoqun Xia; Xiaorun Li; Liaoying Zhao (Remote. Sens., 2018)

Band Priority Index: A Feature Selection Framework for Hyperspectral Imagery. - Wenqiang Zhang; Xiaorun Li; Liaoying Zhao (Remote. Sens., 2018)

Recursive Local Summation of RX Detection for Hyperspectral Image Using Sliding Windows. - Liaoying Zhao; Weijun Lin; Yulei Wang 002; Xiaorun Li (Remote. Sens., 2018)

Hyperspectral Unmixing Based on Incremental Kernel Nonnegative Matrix Factorization. - Risheng Huang; Xiaorun Li; Liaoying Zhao (IEEE Trans. Geosci. Remote. Sens., 2018)

A Geometry-Based Band Selection Approach for Hyperspectral Image Analysis. - Wenqiang Zhang; Xiaorun Li; Yaxing Dou; Liaoying Zhao (IEEE Trans. Geosci. Remote. Sens., 2018)

Object Detection in VHR Image Using Transfer Learning with Deformable Convolution. - Zeyu Cao; Xiaorun Li; Liaoying Zhao (IGARSS, 2019)

Endmember Bundle Extraction Based on Pure Pixel Index and Superpixel Segmentation. - Ziqiang Hua; Xiaorun Li; Liaoying Zhao (IGARSS, 2019)

Two-Dimensional Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Risheng Huang; Haiqiang Lu; Xiaorun Li; Liaoying Zhao (IGARSS, 2019)

Anomaly Detection-Oriented Band Selection for Hyperspectral Image. - Lang Ren; Liaoying Zhao; Xiaorun Li (IGARSS, 2019)

A High Precision Feature Matching Method Based on Geometrical Outlier Removal for Remote Sensing Image Registration. - Han Yang 003; Xiaorun Li; Yijian Ma; Liaoying Zhao; Shuhan Chen (IEEE Access, 2019)

Parameterized Nonlinear Least Squares for Unsupervised Nonlinear Spectral Unmixing. - Risheng Huang; Xiaorun Li; Haiqiang Lu; Jing Li; Liaoying Zhao (Remote. Sens., 2019)

A Novel Coarse-to-Fine Scheme for Remote Sensing Image Registration Based on SIFT and Phase Correlation. - Han Yang 003; Xiaorun Li; Liaoying Zhao; Shuhan Chen (Remote. Sens., 2019)

Floating Xylene Spill Segmentation from Ultraviolet Images via Target Enhancement. - Shuyue Zhan; Chao Wang; Shuchang Liu 003; Kaibo Xia; Hui Huang; Xiaorun Li; Caicai Liu; Ren Xu (Remote. Sens., 2019)

Discovering the Representative Subset with Low Redundancy for Hyperspectral Feature Selection. - Wenqiang Zhang; Xiaorun Li; Liaoying Zhao (Remote. Sens., 2019)

Spectral-Spatial Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Risheng Huang; Xiaorun Li; Liaoying Zhao (IEEE Trans. Geosci. Remote. Sens., 2019)

Precise cable contour extraction method based on candidate point merge search. - Hao-Tian Wang; Xiaorun Li; Yueming Feng (ICMIP, 2020)

Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification. - Zeyu Cao; Xiaorun Li; Liaoying Zhao (CoRR, 2020)

Multiple Infrared Small Targets Detection based on Hierarchical Maximal Entropy Random Walk. - Chaoqun Xia; Xiaorun Li; Liaoying Zhao; Shuhan Chen (CoRR, 2020)

Kernel-OPBS Algorithm: A Nonlinear Feature Selection Method for Hyperspectral Imagery. - Xiaorun Li; Wenqiang Zhang; Shengda Niu; Zhiyu Cao; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2020)

Infrared Small Target Detection Based on Multiscale Local Contrast Measure Using Local Energy Factor. - Chaoqun Xia; Xiaorun Li; Liaoying Zhao; Rui Shu (IEEE Geosci. Remote. Sens. Lett., 2020)

Optical Remote Sensing Image Registration Using Spatial-Consistency and Average Regional Information Divergence Minimization via Quantum-Behaved Particle Swarm Optimization. - Shuhan Chen; Bai Xue; Han Yang 003; Xiaorun Li; Liaoying Zhao; Chein-I Chang (Remote. Sens., 2020)

Modified Graph Laplacian Model With Local Contrast and Consistency Constraint for Small Target Detection. - Chaoqun Xia; Xiaorun Li; Liaoying Zhao; Shaoqi Yu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A Bathymetry Mapping Approach Combining Log-Ratio and Semianalytical Models Using Four-Band Multispectral Imagery Without Ground Data. - Haoyang Xia; Xiaorun Li; Huaguo Zhang 002; Juan Wang 009; Xiulin Lou; Kaiguo Fan; Aiqin Shi; Dongling Li (IEEE Trans. Geosci. Remote. Sens., 2020)

ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification. - Zeyu Cao; Xiaorun Li; Yueming Feng; Shuhan Chen; Chaoqun Xia; Liaoying Zhao (Neurocomputing, 2021)

Autoencoder Network for Hyperspectral Unmixing With Adaptive Abundance Smoothing. - Ziqiang Hua; Xiaorun Li; Qunhui Qiu; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2021)

Hyperspectral Anomaly Detection Based on Low-Rank Representation Using Local Outlier Factor. - Shaoqi Yu; Xiaorun Li; Liaoying Zhao; Jing Wang (IEEE Geosci. Remote. Sens. Lett., 2021)

Gated Autoencoder Network for Spectral-Spatial Hyperspectral Unmixing. - Ziqiang Hua; Xiaorun Li; Jianfeng Jiang; Liaoying Zhao (Remote. Sens., 2021)

EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection. - Yufei Liu; Xiaorun Li; Ziqiang Hua; Liaoying Zhao (Remote. Sens., 2021)

An Exponential Algorithm for Bottom Reflectance Retrieval in Clear Optically Shallow Waters from Multispectral Imagery without Ground Data. - Yunhan Ma; Huaguo Zhang 002; Xiaorun Li; Juan Wang 009; Wenting Cao; Dongling Li; Xiulin Lou; Kaiguo Fan (Remote. Sens., 2021)

Iterative Scale-Invariant Feature Transform for Remote Sensing Image Registration. - Shuhan Chen; Shengwei Zhong 001; Bai Xue; Xiaorun Li; Liaoying Zhao; Chein-I Chang (IEEE Trans. Geosci. Remote. Sens., 2021)

Correntropy-Based Spatial-Spectral Robust Sparsity-Regularized Hyperspectral Unmixing. - Xiaorun Li; Risheng Huang; Liaoying Zhao (IEEE Trans. Geosci. Remote. Sens., 2021)

Infrared and Visible Image Registration in UAV Inspection. - Luoqiao Xiang; Liaoying Zhao; Shuhan Chen; Xiaorun Li (ICVIP, 2022)

Hyperspectral Anomaly Detection with Data Sphering and Unsupervised Target Detection. - Shuhan Chen; Xiaorun Li; Liaoying Zhao (IGARSS, 2022)

A Spatial-Spectral-Temporal Attention Method for Hyperspectral Image Change Detection. - Jigang Ding; Xiaorun Li (IGARSS, 2022)

Fusion of Low-Quality Visible and Infrared Images Based on Multi-Level Latent Low-Rank Representation Joint With Retinex Enhancement and Multi-Visual Weight Information. - Qiaoying Pan; Liaoying Zhao; Shuhan Chen; Xiaorun Li (IEEE Access, 2022)

CDFormer: A Hyperspectral Image Change Detection Method Based on Transformer Encoders. - Jigang Ding; Xiaorun Li; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2022)

Dual Branch Autoencoder Network for Spectral-Spatial Hyperspectral Unmixing. - Ziqiang Hua; Xiaorun Li; Yueming Feng; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2022)

ALPN: Active-Learning-Based Prototypical Network for Few-Shot Hyperspectral Imagery Classification. - Xiaorun Li; Zeyu Cao; Liaoying Zhao; Jianfeng Jiang (IEEE Geosci. Remote. Sens. Lett., 2022)

ROBYOL: Random-Occlusion-Based BYOL for Hyperspectral Image Classification. - Jinhui Li; Xiaorun Li; Zeyu Cao; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2022)

A Band Selection Method With Masked Convolutional Autoencoder for Hyperspectral Image. - Yufei Liu; Xiaorun Li; Ziqiang Hua; Chaoqun Xia; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiple Infrared Small Targets Detection Based on Hierarchical Maximal Entropy Random Walk. - Chaoqun Xia; Xiaorun Li; Yeping Yin; Shuhan Chen (IEEE Geosci. Remote. Sens. Lett., 2022)

An Accurate Registration Method Based on Global Mixed Structure Similarity (GMSIM) for Remote Sensing Images. - Han Yang 003; Xiaorun Li; Shuhan Chen; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2022)

Editorial for Special Issue "Advances in Hyperspectral Data Exploitation". - Chein-I Chang; Meiping Song; Chunyan Yu; Yulei Wang 002; Haoyang Yu 001; Jiaojiao Li 001; Lin Wang 028; Hsiao-Chi Li; Xiaorun Li (Remote. Sens., 2022)

Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection. - Shaoqi Yu; Xiaorun Li; Shuhan Chen; Liaoying Zhao (Remote. Sens., 2022)

Normalizing Flow-Based Probability Distribution Representation Detector for Hyperspectral Anomaly Detection. - Xiaorun Li; Shaoqi Yu; Shuhan Chen; Liaoying Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Component Decomposition Analysis for Hyperspectral Anomaly Detection. - Shuhan Chen; Chein-I Chang; Xiaorun Li (IEEE Trans. Geosci. Remote. Sens., 2022)

IMNN-LWEC: A Novel Infrared Small Target Detection Based on Spatial-Temporal Tensor Model. - Yuan Luo; Xiaorun Li; Shuhan Chen; Chaoqun Xia; Liaoying Zhao (IEEE Trans. Geosci. Remote. Sens., 2022)

An Unsupervised Band Selection Method Based on Triple Constraints and Attention Network for Hyperspectral Imagery. - Yufei Liu; Xiaorun Li (IGARSS, 2023)

Infrared Small Target Detection Based on Improved Tri-Layer Window Local Contrast. - Yuan Luo; Xiaorun Li; Shuhan Chen; Chaoqun Xia; Liaoying Zhao (IGARSS, 2023)

Iterative Autoencoder Coupling with Constrained Energy Minimization for Hyperspectral Target Detection. - Yidan Shi; Xiaorun Li; Shuhan Chen (IGARSS, 2023)

BSFormer: Transformer-Based Reconstruction Network for Hyperspectral Band Selection. - Yufei Liu; Xiaorun Li; Zezhong Xu; Ziqiang Hua (IEEE Geosci. Remote. Sens. Lett., 2023)

Enhanced Tensor Low-Rank Representation Learning for Hyperspectral Anomaly Detection. - Qingjiang Xiao; Liaoying Zhao; Shuhan Chen; Xiaorun Li (IEEE Geosci. Remote. Sens. Lett., 2023)

Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization. - Risheng Huang; Huiyun Jiao; Xiaorun Li; Shuhan Chen; Chaoqun Xia (Remote. Sens., 2023)

Robust Tensor Low-Rank Sparse Representation With Saliency Prior for Hyperspectral Anomaly Detection. - Qingjiang Xiao; Liaoying Zhao; Shuhan Chen; Xiaorun Li (IEEE Trans. Geosci. Remote. Sens., 2023)

Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising. - Risheng Huang; Xiaorun Li; Yiming Fang; Zeyu Cao; Chaoqun Xia (Remote. Sens., 2023)

Unlocking the Potential of Data Augmentation in Contrastive Learning for Hyperspectral Image Classification. - Jinhui Li; Xiaorun Li; Yunfeng Yan (Remote. Sens., 2023)

Spectral-Temporal Transformer for Hyperspectral Image Change Detection. - Xiaorun Li; Jigang Ding (Remote. Sens., 2023)

Hyperspectral Unmixing Network Accounting for Spectral Variability Based on a Modified Scaled and a Perturbed Linear Mixing Model. - Ying Cheng; Liaoying Zhao; Shuhan Chen; Xiaorun Li (Remote. Sens., 2023)

Hyperspectral Anomaly Detection with Auto-Encoder and Independent Target. - Shuhan Chen; Xiaorun Li; Yunfeng Yan (Remote. Sens., 2023)

Small Sample Building Energy Consumption Prediction Using Contrastive Transformer Networks. - Wenxian Ji; Zeyu Cao; Xiaorun Li (Sensors, 2023)

An Unsupervised Band Selection Method via Contrastive Learning for Hyperspectral Images. - Xiaorun Li; Yufei Liu; Ziqiang Hua; Shuhan Chen (Remote. Sens., 2023)

Spatial-Temporal Tensor Representation Learning With Priors for Infrared Small Target Detection. - Yuan Luo; Xiaorun Li; Yunfeng Yan; Chaoqun Xia (IEEE Trans. Aerosp. Electron. Syst., 2023)

One-Stream Neural Network Based on Multi-Level Features Fusion for Hyperspectral Image Change Detection. - Jigang Ding; Xiaorun Li; Shuhan Chen (IGARSS, 2024)

Noise Modeling and Learning-Based Hyperspectral Image Denoising Used for Hyperspectral Unmixing. - Risheng Huang; Xiaorun Li; Jigang Ding; Shuhan Chen (IGARSS, 2024)

A Spectral Variability Attention Autoencoder Network for Hyperspectral Unmixing. - Shu Xiang; Xiaorun Li; Shuhan Chen (IGARSS, 2024)

Multiple Spatial-Spectral Features Aggregated Neural Network for Hyperspectral Change Detection. - Jigang Ding; Xiaorun Li; Jingsui Li; Shuhan Chen (IEEE Geosci. Remote. Sens. Lett., 2024)

Hyperspectral Anomaly Detection via Enhanced 3DTV and Sparse Reweighted Regularization. - Qingjiang Xiao; Liaoying Zhao; Shuhan Chen; Xiaorun Li (IEEE Geosci. Remote. Sens. Lett., 2024)

HyperBT: Redundancy Reduction-Based Self-Supervised Learning for Hyperspectral Image Classification. - Jinhui Li; Xiaorun Li; Shuhan Chen (IEEE Signal Process. Lett., 2024)

Hyperspectral Anomaly Detection via Enhanced Low-Rank and Smoothness Fusion Regularization Plus Saliency Prior. - Qingjiang Xiao; Liaoying Zhao; Shuhan Chen; Xiaorun Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Multilevel Features Fused and Change Information Enhanced Neural Network for Hyperspectral Image Change Detection. - Jigang Ding; Xiaorun Li; Shu Xiang; Shuhan Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Feedback Spatial-Temporal Infrared Small Target Detection Based on Orthogonal Subspace Projection. - Yuan Luo; Xiaorun Li; Shuhan Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

4DST-BTMD: An Infrared Small Target Detection Method Based on 4-D Data-Sphered Space. - Yuan Luo; Xiaorun Li; Shuhan Chen; Chaoqun Xia (IEEE Trans. Geosci. Remote. Sens., 2024)

Clustering and Tracking-Guided Infrared Spatial-Temporal Small Target Detection. - Yuan Luo; Xiaorun Li; Jing Wang; Shuhan Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Iterative Graph Propagation for Hyperspectral Anomaly Detection. - Jiahui Sheng; Xiaorun Li; Shuhan Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Target-Driven Iterative Autoencoder for Hyperspectral Target Detection. - Yidan Shi; Xiaorun Li; Shuhan Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Feedback Information-Guided Spectral Variability Attention Network for Hyperspectral Unmixing. - Shu Xiang; Xiaorun Li; Shuhan Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Unidirectional Local-Attention Autoencoder Network for Spectral Variability Unmixing. - Shu Xiang; Xiaorun Li; Jigang Ding; Shuhan Chen; Ziqiang Hua (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Anomaly Detection via MERA Decomposition and Enhanced Total Variation Regularization. - Qingjiang Xiao; Liaoying Zhao; Shuhan Chen; Xiaorun Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Diffusion-Decided Views in Contrastive Learning for Hyperspectral Image Classification. - Jinhui Li; Xiaorun Li; Shuhan Chen; Zeyu Cao (IEEE Geosci. Remote. Sens. Lett., 2025)

5-D spatial-temporal information-based infrared small target detection in complex environments. - Yuan Luo; Xiaorun Li; Shuhan Chen (Pattern Recognit., 2025)

Infrared small target detection based on hypergraph and asymmetric penalty function. - Yuan Luo; Xiaorun Li; Shuhan Chen (Pattern Recognit., 2025)

An Endmember-Oriented Transformer Network for Bundle-Based Hyperspectral Unmixing. - Shu Xiang; Xiaorun Li; Shuhan Chen (IEEE Trans. Geosci. Remote. Sens., 2025)

Independent Component Analysis-Based Infrared Dim and Small Target Detection. - Yuan Luo; Xiaorun Li; Shuhan Chen (IEEE Trans. Instrum. Meas., 2025)

Spatial-Temporal Aware-Based Unsupervised Network for Infrared Small Target Detection. - Yuan Luo; Xiaorun Li; Shuhan Chen (IEEE Trans. Multim., 2025)