Hong Huang

发表

Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding

Hong Huang, Yule Duan, Meili Chen, 2019, Remote. Sens..

Dimensionality reduction of hyperspectral images based on sparse discriminant manifold embedding

Fulin Luo, Hong Huang, Jiamin Liu, 2015 .

SEMI-SUPERVISED MARGINAL FISHER ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Hong Huang, Jiamin Liu, Yinsong Pan, 2012 .

Fusion of Graph Embedding and Sparse Representation for Feature Extraction and Classification of Hyperspectral Imagery

Fulin Luo, Hong Huang, Jiamin Liu, 2017 .

Subspaces Versus Submanifolds — A Comparative Study of Face Recognition

Hong Huang, 2011 .

Spectral Regression Discriminant Analysis for Hyperspectral Image Classification

Hong Huang, Yinsong Pan, Jun Liu, 2012 .

Macro Manifold Learning with Applications to Supervised Classification

Hong Huang, 2014 .

Semi-Supervised Dimensionality Reduction of Hyperspectral Image Based on Sparse Multi-Manifold Learning

Hong Huang, Hailiang Feng, Zezhong Ma, 2015 .

CSA-UNet: Channel-Spatial Attention-Based Encoder–Decoder Network for Rural Blue-Roofed Building Extraction From UAV Imagery

Hong Huang, Jie Xue, Xu Shi, 2022, IEEE Geoscience and Remote Sensing Letters.

Vision Transformer: An Excellent Teacher for Guiding Small Networks in Remote Sensing Image Scene Classification

Hong Huang, Kejie Xu, Peifang Deng, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Multi-Scale Multi-View Model Based on Ensemble Attention for Benign-Malignant Lung Nodule Classification on Chest CT

Hong Huang, Ruoyu Wu, 2022, 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Self-supervised transfer learning framework driven by visual attention for benign-malignant lung nodule classification on chest CT

Hong Huang, Jiuquan Zhang, C. Liang, 2022, Expert Syst. Appl..

When CNNs Meet Vision Transformer: A Joint Framework for Remote Sensing Scene Classification

Hong Huang, Peifang Deng, Kejie Xu, 2021, IEEE Geoscience and Remote Sensing Letters.

Hierarchical Manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images

Hong Huo, Tao Fang, Hong-Bing Huang, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Combing Triple-Part Features of Convolutional Neural Networks for Scene Classification in Remote Sensing

Hong Huang, Kejie Xu, Hong Huang, 2019, Remote. Sens..

Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing

Hong Huang, Kejie Xu, Peifang Deng, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Remote Sensing Image Scene Classification Based on Global–Local Dual-Branch Structure Model

Hong Huang, Kejie Xu, Peifang Deng, 2021, IEEE Geoscience and Remote Sensing Letters.

Attention-based Deep Feature Learning Network for Scene Classification of Hyperspectral Images

Hong Huang, Kejie Xu, Peifang Deng, 2021, 2021 55th Asilomar Conference on Signals, Systems, and Computers.

CNN-GCN Joint Network for Remote Sensing Scene Classification

Hong Huang, Peifang Deng, Kejie Xu, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

A Deep Transfer Learning-Based Object Tracking Algorithm for Hyperspectral Video

Hong Huang, Chao Zhang, Yiming Tang, 2021, ICIG.

Multilayer Feature Fusion Network for Scene Classification in Remote Sensing

Guangyao Shi, Hong Huang, Yuan Li, 2020, IEEE Geoscience and Remote Sensing Letters.

Two-stream feature aggregation deep neural network for scene classification of remote sensing images

Guangyao Shi, Kejie Xu, Hong Huang, 2020, Inf. Sci..

Dimensionality Reduction of Hyperspectral Imagery Based on Spatial–Spectral Manifold Learning

Haibo He, Hong Huang, Guangyao Shi, 2018, IEEE Transactions on Cybernetics.

Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery

Jiamin Liu, Hong Huang, Yule Duan, 2017, Remote. Sens..

Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images

Jiamin Liu, Hong Huang, Zezhong Ma, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery

Haibo He, Zhengying Li, Song Yang, 2020, Pattern Recognit..

Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs

Hong Huang, Yule Duan, Tao Wang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature Learning

Guangyao Shi, Hong Huang, Lihua Wang, 2020, IEEE Geoscience and Remote Sensing Letters.

An attention-driven convolutional neural network-based multi-level spectral-spatial feature learning for hyperspectral image classification

Hong Huang, Chunyu Pu, Liping Yang, 2021, Expert Syst. Appl..

Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image

Hong Huang, Zhengying Li, Yule Duan, 2020, IEEE Transactions on Cybernetics.

Local Constraint-Based Sparse Manifold Hypergraph Learning for Dimensionality Reduction of Hyperspectral Image

Hong Huang, Yule Duan, Yuxiao Tang, 2021, IEEE Trans. Geosci. Remote. Sens..

Adaptive Residual Convolutional Neural Network for Hyperspectral Image Classification

Hong Huang, Yuan Li, Yule Duan, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Spectral–Spatial Residual Graph Attention Network for Hyperspectral Image Classification

Hong Huang, Yue Zhao, Chenqiang Gao, 2022, IEEE Geoscience and Remote Sensing Letters.

Manifold-Based Multi-Deep Belief Network for Feature Extraction of Hyperspectral Image

Hong Huang, Guangyao Shi, Zhengying Li, 2022, Remote. Sens..

Classfication of Hyperspectral Image With Attention Mechanism-Based Dual-Path Convolutional Network

Hong Huang, Chunyu Pu, Liuyang Luo, 2021, IEEE Geoscience and Remote Sensing Letters.

Enhanced semi-supervised local Fisher discriminant analysis for face recognition

Jiamin Liu, Jianwei Li, Hong Huang, 2012, Future Gener. Comput. Syst..

Ear recognition based on uncorrelated local Fisher discriminant analysis

Jiamin Liu, Hong Huang, Hailiang Feng, 2011, Neurocomputing.

The Chongqing University ChineSe Ear Video Database and its application

Fulin Luo, Hong Huang, Jiamin Liu, 2016, Pattern Recognition and Image Analysis.

The Chongqing University ChineSe Ear Video Database and its application

Jiamin Liu, Hong Huang, Fulin Luo, 2016, Pattern Recognition and Image Analysis.

DLPNet: A deep manifold network for feature extraction of hyperspectral imagery

Hong Huang, Guangyao Shi, Zhengying Li, 2020, Neural Networks.

Dimensionality Reduction of Hyperspectral Images With Sparse Discriminant Embedding

Mei Yang, Hong Huang, Hong Huang, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery

Hong Huang, Guangyao Shi, Zhengying Li, 2019, Remote. Sens..

Improved discriminant sparsity neighborhood preserving embedding for hyperspectral image classification

Hong Huang, Yunbiao Huang, Hong Huang, 2014, Neurocomputing.

M3DNet: A manifold-based discriminant feature learning network for hyperspectral imagery

Hong Huang, Yuan Li, Zhengying Li, 2020, Expert Syst. Appl..

Local Linear Spatial–Spectral Probabilistic Distribution for Hyperspectral Image Classification

Haibo He, Guangyao Shi, Hong Huang, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Complete local Fisher discriminant analysis with Laplacian score ranking for face recognition

Chengyu Peng, Hong Huang, Hailiang Feng, 2012, Neurocomputing.

SOFTWARE AND HARDWARE FOR PATTERN RECOGNITION AND IMAGE ANALYSIS

Jiamin Liu, Hong Huang, Fulin Luo, 2016 .

Self-Supervised Transfer Learning Based on Domain Adaptation for Benign-Malignant Lung Nodule Classification on Thoracic CT

Chao Peng, Hong Huang, Ruoyu Wu, 2022, IEEE Journal of Biomedical and Health Informatics.

Masked Spectral Bands Modeling With Shifted Windows: An Excellent Self-Supervised Learner for Classification of Medical Hyperspectral Images

Hong Huang, Ruoyu Wu, Yuan Li, 2023, IEEE Signal Processing Letters.

GCLDNet: Gastric cancer lesion detection network combining level feature aggregation and attention feature fusion

Hong Huang, Jian Wu, Xu Shi, 2022, Frontiers in Oncology.

Benign-malignant classification of pulmonary nodule with deep feature optimization framework

Hong Huang, Jiuquan Zhang, Ruoyu Wu, 2022, Biomed. Signal Process. Control..

Semisupervised Manifold Joint Hypergraphs for Dimensionality Reduction of Hyperspectral Image

Hong Huang, Yuan Li, Yule Duan, 2021, IEEE Geoscience and Remote Sensing Letters.

Gene Classification Using Parameter-Free Semi-Supervised Manifold Learning

Hong Huang, Hailiang Feng, Hong Huang, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Gene expression data classification based on improved semi-supervised local Fisher discriminant analysis

Jiamin Liu, Jianwei Li, Hong Huang, 2012, Expert Syst. Appl..

Enhanced semi-supervised local fisher discriminant analysis for gene expression data classification

Jianwei Li, Hong Huang, Hailiang Feng, 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

Deep Manifold Reconstruction Neural Network for Hyperspectral Image Classification

Hong Huang, Zhengying Li, Zhen Zhang, 2022, IEEE Geoscience and Remote Sensing Letters.

A Deep Neural Network Combined With Context Features for Remote Sensing Scene Classification

Hong Huang, Kejie Xu, Peifang Deng, 2022, IEEE Geoscience and Remote Sensing Letters.

Aggregated-Attention Transformation Network for Hyperspectral Image Classification

Hong Huang, Chunyu Pu, Yuan Li, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Semisupervised Spatial-Spectral Feature Extraction With Attention Mechanism for Hyperspectral Image Classification

Hong Huang, Xu Shi, Chunyu Pu, 2022, IEEE Geoscience and Remote Sensing Letters.

Generalized Regression Neural Network Optimized by Genetic Algorithm for Solving Out-of-Sample Extension Problem in Supervised Manifold Learning

Hong-Bing Huang, Zhi-Hong Xie, Hong Huang, 2019, Neural Processing Letters.

Spatial-spectral local discriminant projection for dimensionality reduction of hyperspectral image

Haibo He, Guangyao Shi, Yule Duan, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

3-D Convolutional Neural Network Driven by Dimensionality Reduction for Hyperspectral Blood Cells Classification

Hong Huang, Yiming Tang, Yuan Li, 2021, ICIG.

Supervised Imagery Classification Based on Hierarchical Macro Manifold

Hong Huang, 2014 .

A Scale-Adaptive Particle Filter Tracking Algorithm Based on Offline Trained Multi-Domain Deep Network

Jiamin Liu, Yufei Liu, Hong Huang, 2020, IEEE Access.

A Lightweight Dual-Branch Swin Transformer for Remote Sensing Scene Classification

Hong Huang, Wei Zhou, Fujian Zheng, 2023, Remote. Sens..

Classification of hyperspectral remote-sensing images based on sparse manifold learning

Hong Huang, Hong Huang, 2013 .

Spatial-Spectral Combination Convolutional Neural Network for Hyperspectral Image Classification

Hong Huang, Chunyu Pu, Zhengying Li, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.