Xinwei Jiang

Orcid: 0000-0002-1766-3332

According to our database1, Xinwei Jiang authored at least 54 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Deformation Characteristics and Activation Dynamics of the Xiaomojiu Landslide in the Upper Jinsha River Basin Revealed by Multi-Track InSAR Analysis.
Remote. Sens., June, 2024

Metric learning and local enhancement based collaborative representation for hyperspectral image classification.
Multim. Tools Appl., April, 2024

Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering.
IEEE Trans. Geosci. Remote. Sens., 2024

Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2023

A Locality-based Neural Solver for Optical Motion Capture.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Structured-Anchor Projected Clustering for Hyperspectral Images.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies.
ACM Trans. Graph., 2022

Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection.
IEEE Trans. Geosci. Remote. Sens., 2022

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection.
IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering.
IEEE Trans. Circuits Syst. Video Technol., 2022

Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery.
Multim. Tools Appl., 2022

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection.
IEEE Geosci. Remote. Sens. Lett., 2022

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett., 2022

Low rank representation and discriminant analysis-based models for peer-to-peer default risk assessment.
J. Syst. Inf. Technol., 2022

Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction.
Inf. Sci., 2022

Negative Stiffness Control of Quasi-Zero Stiffness Air Suspension via Data-Driven Approach with Adaptive Fuzzy Neural Network Method.
Int. J. Fuzzy Syst., 2022

Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Superpixel Correction Based Label Propagation for Hyperspectral Images Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Graph Learning Based Autoencoder for Hyperspectral Band Selection.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2021

Minimum unbiased risk estimate based 2DPCA for color image denoising.
Neurocomputing, 2021

2020
Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine.
Sensors, 2020

High-Fidelity 3D Digital Human Creation from RGB-D Selfies.
CoRR, 2020

2019
Cache Space Efficient Caching Scheme for Content-Centric Mobile Ad Hoc Networks.
IEEE Syst. J., 2019

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine.
Remote. Sens., 2019

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification.
Remote. Sens., 2019

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.
Remote. Sens., 2019

Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction.
IEEE Geosci. Remote. Sens. Lett., 2019

2018
Efficient history matching with dimensionality reduction methods for reservoir simulations.
Simul., 2018

Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter.
Sensors, 2018

Shared Deep Kernel Learning for Dimensionality Reduction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Functional Locality Preserving Projection for Dimensionality Reduction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation.
IEEE Trans. Cybern., 2017

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017

Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017

Content Clustering and Popularity Prediction Based Caching Strategy in Content Centric Networking.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

2016
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Enhancement of Low Light Level Images with coupled dictionary learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Shadow removal in remote sensing images using features sample matting.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Multi-task Gaussian Process Regression-based Image Super Resolution.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines.
IEEE Trans. Cybern., 2014

Fast identification algorithms for Gaussian process model.
Neurocomputing, 2014

Gaussian Processes Autoencoder for Dimensionality Reduction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Hyperspectral data recovery with the gradient field of coincident panchromatic imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Cluster constraint based sparse NMF for hyperspectral imagery unmixing.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Thin Plate Spline Latent Variable Models for dimensionality reduction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010
Learning Gradients with Gaussian Processes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010


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