Xinwei Jiang

发表

Estimation of Gaussian process regression model using probability distance measures

C. Harris, X. Hong, Junbin Gao, 2014 .

Superpixel Correction Based Label Propagation for Hyperspectral Images Classification

Yongshan Zhang, Xinwei Jiang, Qin Yan, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine

Zhihua Cai, Xinwei Jiang, Yongshan Zhang, 2019, Remote. Sens..

Minimum unbiased risk estimate based 2DPCA for color image denoising

Junbin Gao, Xinwei Jiang, Tianjiang Wang, 2021, Neurocomputing.

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image

Z. Cai, Xinwei Jiang, Zijia Zhang, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation

Junjun Jiang, Chen Chen, Xinwei Jiang, 2017, IEEE Transactions on Cybernetics.

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification

X. Xiao, Xinwei Jiang, A. Plaza, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Spectral–Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering

Yicong Zhou, Xinwei Jiang, Yang Wang, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection

Z. Cai, Yongshan Zhang, Xinwei Jiang, 2022, IEEE Geoscience and Remote Sensing Letters.

Spectral–Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery

Z. Cai, Junjun Jiang, Yongshan Zhang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection

Xinwei Jiang, Yicong Zhou, Yongshan Zhang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine

Zhihua Cai, Xinwei Jiang, Xiaoping Fang, 2020, Sensors.

Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction

Junjun Jiang, Cai Zhihua, Xinwei Jiang, 2019, IEEE Geoscience and Remote Sensing Letters.

Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter

Junjun Jiang, Zhihua Cai, Xinwei Jiang, 2018, Sensors.

Efficient history matching with dimensionality reduction methods for reservoir simulations

Dongmei Zhang, Xinwei Jiang, Zhijiang Kang, 2018, Simul..

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery

Junbin Gao, Junjun Jiang, Xin Song, 2018, Remote. Sens..

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image

Xiaobo Liu, Zhihua Cai, Xinwei Jiang, 2021, IEEE Geoscience and Remote Sensing Letters.

Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification

Yi Yu, Junjun Jiang, Chen Chen, 2017, IEEE Geoscience and Remote Sensing Letters.

Fast identification algorithms for Gaussian process model

Junbin Gao, Chris J. Harris, Xia Hong, 2014, Neurocomputing.

Graph Learning Based Autoencoder for Hyperspectral Band Selection

Yicong Zhou, Xinwei Jiang, Xinxin Wang, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection

Yicong Zhou, Xinwei Jiang, Xinxin Wang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection

Yongshan Zhang, Xinwei Jiang, Xuxiang Feng, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gaussian Processes Autoencoder for Dimensionality Reduction

Junbin Gao, Xia Hong, Zhihua Cai, 2014, PAKDD.

Low rank representation and discriminant analysis-based models for peer-to-peer default risk assessment

Xinwei Jiang, Gui Yuan, Shali Huang, 2021, J. Syst. Inf. Technol..

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification

Junbin Gao, Zhihua Cai, Xin Song, 2019, Remote. Sens..

Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction

Junbin Gao, Xinwei Jiang, Tianjiang Wang, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines

Daming Shi, Junbin Gao, Xinwei Jiang, 2014, IEEE Transactions on Cybernetics.

Thin Plate Spline Latent Variable Models for dimensionality reduction

Daming Shi, Junbin Gao, Xinwei Jiang, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Learning Gradients with Gaussian Processes

Junbin Gao, Xinwei Jiang, Tianjiang Wang, 2010, PAKDD.

Spectral–Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images

Xinwei Jiang, A. Plaza, Xiaobo Liu, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Functional Locality Preserving Projection for Dimensionality Reduction

Junbin Gao, Xia Hong, Xin Song, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).