A Fingerprint Capture System and the Corresponding Image Quality Evaluation Algorithm Based on FPS200. - Hong Huang 002; Jianwei Li; Wei He (PRICAI, 2006)

Incorporating Image Quality in Multimodal Biometric Verification. - Hong Huang 002; Jianwei Li; Zezhong Ma; Hailiang Feng (ISNN (3), 2007)

Subspaces versus Submanifolds: a Comparative Study in Small Sample Size Problem. - Hong Huang 002; Jianwei Li; Hailiang Feng (Int. J. Pattern Recognit. Artif. Intell., 2009)

Enhanced semi-supervised local fisher discriminant analysis for gene expression data classification. - Hong Huang 002; Jianwei Li; Hailiang Feng; Ruxi Xiang (BIC-TA, 2010)

Local Fisher Discriminant Analysis with Maximum Margin Criterion for Image Recognition. - Hong Huang 002; Jiamin Liu; Yinsong Pan (CGIV, 2011)

Ear recognition based on uncorrelated local Fisher discriminant analysis. - Hong Huang 002; Jiamin Liu; Hailiang Feng; Tongdi He (Neurocomputing, 2011)

Uncorrelated Local Fisher Discriminant Analysis for Face Recognition. - Hong Huang 002; Jiamin Liu; Hailiang Feng (Int. J. Pattern Recognit. Artif. Intell., 2011)

Gene expression data classification based on improved semi-supervised local Fisher discriminant analysis. - Hong Huang 002; Jianwei Li; Jiamin Liu (Expert Syst. Appl., 2012)

Enhanced semi-supervised local Fisher discriminant analysis for face recognition. - Hong Huang 002; Jianwei Li; Jiamin Liu (Future Gener. Comput. Syst., 2012)

Complete local Fisher discriminant analysis with Laplacian score ranking for face recognition. - Hong Huang 002; Hailiang Feng; Chengyu Peng (Neurocomputing, 2012)

Gene Classification Using Parameter-Free Semi-Supervised Manifold Learning. - Hong Huang 002; Hailiang Feng (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Locality and Globality Discriminant Feature and its Application in Hyperspectral Image Classification. - Hong Huang 002; Hailiang Feng (Int. J. Pattern Recognit. Artif. Intell., 2013)

Sparse Manifold Preserving for Hyperspectral Image Classification. - Hong Huang 002; Fulin Luo; Jiamin Liu; Zezhong Ma (CCPR (1), 2014)

Improved discriminant sparsity neighborhood preserving embedding for hyperspectral image classification. - Hong Huang 002; Yunbiao Huang (Neurocomputing, 2014)

Hyperspectral Image Classification using Local spectral angle-Based Manifold Learning. - Fulin Luo; Jiamin Liu; Hong Huang 002; Yumei Liu (Int. J. Pattern Recognit. Artif. Intell., 2014)

Dimensionality Reduction of Hyperspectral Images With Sparse Discriminant Embedding. - Hong Huang 002; Mei Yang (IEEE Trans. Geosci. Remote. Sens., 2015)

Dimensionality reduction of hyperspectral images with local geometric structure Fisher analysis. - Fulin Luo; Hong Huang 002; Yaqiong Yang; Zhiyong Lv (IGARSS, 2016)

Classification of hyperspectral image via spatial-spectral manifold reconstruction. - Yaqiong Yang; Hong Huang 002; Fulin Luo (IGARSS, 2016)

A Generalized Image Scene Decomposition-Based System for Supervised Classification of Very High Resolution Remote Sensing Imagery. - Zhiyong Lv; Haiqing He; Jón Atli Benediktsson; Hong Huang 002 (Remote. Sens., 2016)

Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images. - Fulin Luo; Hong Huang 002; Zezhong Ma; Jiamin Liu (IEEE Trans. Geosci. Remote. Sens., 2016)

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-Feature Manifold Discriminant Analysis for Hyperspectral Image Classification. - Hong Huang 002; Zhengying Li; Yinsong Pan (Remote. Sens., 2019)

Combing Triple-Part Features of Convolutional Neural Networks for Scene Classification in Remote Sensing. - Hong Huang 002; Kejie Xu (Remote. Sens., 2019)

Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery. - Guangyao Shi; Hong Huang 002; Jiamin Liu; Zhengying Li; Lihua Wang (Remote. Sens., 2019)

Deep Manifold Learning Network for Hyperspectral Image Classification. - Zhengying Li; Hong Huang 002; Chunyu Pu (IGARSS, 2020)

Spatial-Spectral Combination Convolutional Neural Network for Hyperspectral Image Classification. - Chunyu Pu; Hong Huang 002; Zhengying Li (IGARSS, 2020)

Multiple Characteristics Similarity Metric Method for Hyperspectral Image Classification. - Jiamin Liu; Limei Zhang; Hong Huang 002; Chao Zheng; Song Yang (IEEE Access, 2020)

A Scale-Adaptive Particle Filter Tracking Algorithm Based on Offline Trained Multi-Domain Deep Network. - Yiming Tang 003; Yufei Liu 004; Hong Huang 002; Jiamin Liu; Wenjie Xie (IEEE Access, 2020)

M3DNet: A manifold-based discriminant feature learning network for hyperspectral imagery. - Zhengying Li; Hong Huang 002; Yuan Li 061; Yinsong Pan (Expert Syst. Appl., 2020)

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

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)

Swarm intelligence algorithm for extracting spatial spectrum features of hyperspectral remote sensing image and decomposing mixed pixels. - Yu Gao; Yinsong Pan; Hong Huang 002; Ehab R. Mohamed; Zahraa M. I. Aly (J. Intell. Fuzzy Syst., 2020)

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature Learning. - Guangyao Shi; Hong Huang 002; Lihua Wang (IEEE Geosci. Remote. Sens. Lett., 2020)

Multilayer Feature Fusion Network for Scene Classification in Remote Sensing. - Kejie Xu; Hong Huang 002; Yuan Li 061; Guangyao Shi (IEEE Geosci. Remote. Sens. Lett., 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)

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

A Deep Transfer Learning-Based Object Tracking Algorithm for Hyperspectral Video. - Yiming Tang 003; Yufei Liu 004; Hong Huang 002; Chao Zhang 008; Yuan Li 061 (ICIG (3), 2021)

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

An attention-driven convolutional neural network-based multi-level spectral-spatial feature learning for hyperspectral image classification. - Chunyu Pu; Hong Huang 002; Liping Yang 001 (Expert Syst. Appl., 2021)

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)

Multi-Scale Multi-View Model Based on Ensemble Attention for Benign-Malignant Lung Nodule Classification on Chest CT. - Ruoyu Wu; Hong Huang 002 (CISP-BMEI, 2022)

Benign-malignant classification of pulmonary nodule with deep feature optimization framework. - Hong Huang 002; Yuan Li 061; Ruoyu Wu; Zhengying Li; Jiuquan Zhang (Biomed. Signal Process. Control., 2022)

Target-aware and spatial-spectral discriminant feature joint correlation filters for hyperspectral video object tracking. - Yiming Tang 003; Yufei Liu 004; Hong Huang 002 (Comput. Vis. Image Underst., 2022)

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)

Self-Supervised Convolutional Neural Network via Spectral Attention Module for Hyperspectral Image Classification. - Hong Huang 002; Liuyang Luo; Chunyu Pu (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Manifold Reconstruction Neural Network for Hyperspectral Image Classification. - Zhengying Li; Hong Huang 002; Zhen Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Classfication of Hyperspectral Image With Attention Mechanism-Based Dual-Path Convolutional Network. - Chunyu Pu; Hong Huang 002; Liuyang Luo (IEEE Geosci. Remote. Sens. Lett., 2022)

Semisupervised Spatial-Spectral Feature Extraction With Attention Mechanism for Hyperspectral Image Classification. - Chunyu Pu; Hong Huang 002; Xu Shi; Tao Wang (IEEE Geosci. Remote. Sens. Lett., 2022)

CSA-UNet: Channel-Spatial Attention-Based Encoder-Decoder Network for Rural Blue-Roofed Building Extraction From UAV Imagery. - Xu Shi; Hong Huang 002; Chunyu Pu; Yinming Yang; Jie Xue (IEEE Geosci. Remote. Sens. Lett., 2022)

Robust Hyperspectral Object Tracking by Exploiting Background-Aware Spectral Information With Band Selection Network. - Yiming Tang 003; Yufei Liu 004; Ling Ji; 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)

Spectral-Spatial Residual Graph Attention Network for Hyperspectral Image Classification. - Kejie Xu; Yue Zhao 012; Lingming Zhang; Chenqiang Gao; Hong Huang 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Manifold-Based Multi-Deep Belief Network for Feature Extraction of Hyperspectral Image. - Zhengying Li; Hong Huang 002; Zhen Zhang; Guangyao Shi (Remote. Sens., 2022)

Aggregated-Attention Transformation Network for Hyperspectral Image Classification. - Chunyu Pu; Hong Huang 002; Yuan Li 061 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

Manifold Learning-Based Semisupervised Neural Network for Hyperspectral Image Classification. - Zhengying Li; Hong Huang 002; Zhen Zhang; Yinsong Pan (IEEE Trans. Geosci. Remote. Sens., 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)

Self-Supervised Transfer Learning Based on Domain Adaptation for Benign-Malignant Lung Nodule Classification on Thoracic CT. - Hong Huang 002; Ruoyu Wu; Yuan Li 061; Chao Peng (IEEE J. Biomed. Health Informatics, 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)

A Siamese network-based tracking framework for hyperspectral video. - Yiming Tang 003; Hong Huang 002; Yufei Liu 004; Yuan Li 061 (Neural Comput. Appl., 2023)

A Lightweight Dual-Branch Swin Transformer for Remote Sensing Scene Classification. - Fujian Zheng; Shuai Lin; Wei Zhou; Hong Huang 002 (Remote. Sens., 2023)

Masked Spectral Bands Modeling With Shifted Windows: An Excellent Self-Supervised Learner for Classification of Medical Hyperspectral Images. - Yuan Li 061; Ruoyu Wu; Qijuan Tan; Zhengchun Yang; Hong Huang 002 (IEEE Signal Process. Lett., 2023)

Self-supervised transfer learning framework driven by visual attention for benign-malignant lung nodule classification on chest CT. - Ruoyu Wu; Changyu Liang; Yuan Li 061; Xu Shi; Jiuquan Zhang; Hong Huang 002 (Expert Syst. Appl., 2023)

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)

Classification of adenoid cystic carcinoma in whole slide images by using deep learning. - Yan Fu; Fanlin Zhou; Xu Shi; Long Wang; Yu Li; Jian Wu; Hong Huang 002 (Biomed. Signal Process. Control., 2023)

An automatic histopathological image segmentation network based on global context-aware module and deep feature aggregation. - Xu Shi; Fanlin Zhou; Long Wang; Yan Fu; Ruoyu Wu; Jian Wu; Yu Li; Hong Huang 002 (Expert Syst. Appl., 2024)

An Asymmetric Intensive Interactive Fusion Network for Infrared Small Target Detection. - Yingxu Liu; Hong Huang 002; Quanyi Zhao; Chunyu Pu; Liping Yang 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Multimodal Deep Learning for Semisupervised Classification of Hyperspectral and LiDAR Data. - Chunyu Pu; Yingxu Liu; Shuai Lin; Xu Shi; Zhengying Li; Hong Huang 002 (IEEE Trans. Big Data, 2025)