Zhijing Ye

Orcid: 0000-0002-0369-4795

Affiliations:
  • Macau University of Science and Technology, Faculty of Innovation Engineering, Macau
  • Wuhan University of Technology, School of Science, China (former)
  • Huazhong University of Science and Technology, School of Mathematics and Statistics, Wuhan, China (PhD 2016)


According to our database1, Zhijing Ye authored at least 12 papers between 2015 and 2025.

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

Timeline

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2020
2022
2024
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Semantic Tokenization-Based Mamba for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Small-Sample Classification for Hyperspectral Images With EPF-Based Smooth Ordering.
IEEE Trans. Geosci. Remote. Sens., 2024

FCFDA: Fine-Coarse-Fine Progressive Graph Framework With Distribution Alignment for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Two-Stage Hyperspectral Image Classification Using Few Labeled Samples.
IEEE Geosci. Remote. Sens. Lett., 2024

2022
Hyperspectral Image Classification Using Adaptive Weighted Quaternion Zernike Moments.
IEEE Trans. Signal Process., 2022

Spectral-Spatial Classification of Hyperspectral Image Using Improved Functional Principal Component Analysis.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Functional Feature Extraction for Hyperspectral Image Classification With Adaptive Rational Function Approximation.
IEEE Trans. Geosci. Remote. Sens., 2021

Locally Homogeneous Covariance Matrix Representation for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

2017
Hyperspectral Image Classification Using Principal Components-Based Smooth Ordering and Multiple 1-D Interpolation.
IEEE Trans. Geosci. Remote. Sens., 2017

2016
A novel semi-supervised learning framework for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process., 2016

2015
Hyperspectral Image Classification Using Spectral-Spatial Composite Kernels Discriminant Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015


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