Wei Yao

Orcid: 0000-0001-7488-5997

Affiliations:
  • South-Central University for Nationalities, School of Computer Science, Wuhan, China


According to our database1, Wei Yao authored at least 16 papers between 2012 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
SCDA: A Style and Content Domain Adaptive Semantic Segmentation Method for Remote Sensing Images.
Remote. Sens., October, 2023

CS2DT: Cross Spatial-Spectral Dense Transformer for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification.
Remote. Sens., 2022

2021
ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2021

2020
Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization.
Neural Networks, 2020

2018
Pixel-wise regression using U-Net and its application on pansharpening.
Neurocomputing, 2018

Constructing prediction intervals for landslide displacement using bootstrapping random vector functional link networks selective ensemble with neural networks switched.
Neurocomputing, 2018

2017
Generating probabilistic predictions using mean-variance estimation and echo state network.
Neurocomputing, 2017

2016
Prediction Intervals for Landslide Displacement Based on Switched Neural Networks.
IEEE Trans. Reliab., 2016

Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights.
IEEE Trans. Neural Networks Learn. Syst., 2016

2015
Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis.
Neural Comput. Appl., 2014

A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Performance of combined artificial neural networks for forecasting landslide displacement.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-step Predictions of Landslide Displacements Based on Echo State Network.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2012
Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine.
Proceedings of the Neural Information Processing - 19th International Conference, 2012


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