Weilian Zhou

Orcid: 0000-0002-2071-1489

According to our database1, Weilian Zhou authored at least 13 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Multiscanning-Based RNN-Transformer for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Learned Image Compression with Multi-Scan Based Channel Fusion.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Multiscanning Strategy-Based Recurrent Neural Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Constructing infinite deep neural networks with flexible expressiveness while training.
Neurocomputing, 2022

Hierarchical Unified Spectral-Spatial Aggregated Transformer for Hyperspectral Image Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Rethinking Unified Spectral-Spatial-Based Hyperspectral Image Classification Under 3D Configuration of Vision Transformer.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Residual Networks with Common Linear Multi-Step and Advanced Numerical Schemes.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Rethinking ResNets: Improved Stacking Strategies With High Order Schemes.
CoRR, 2021

Hyperspectral Image Classification Based on Multi-stage Vision Transformer with Stacked Samples.
Proceedings of the IEEE Region 10 Conference, 2021

Sub-Band Grouping Spectral Feature-Attention Block for Hyperspectral Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential Equations.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Multi-Scanning Based Recurrent Neural Network for Hyperspectral Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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