Weilian Zhou

According to our database, Weilian Zhou authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral image classification.

Weilian Zhou, Sei-ichiro Kamata, Haipeng Wang, Man Sing Wong, Huiying (cynthia) Hou

Neurocomputing, 2025

2024

Segmented Recurrent Transformer With Cubed 3-D-Multiscanning Strategy for Hyperspectral Image Classification.

Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang, Pengfeng Lu, Mengyunqiu Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification.

Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang, Man-Sing Wong, Huiying Hou

CoRR, 2024

2023

Multiscanning-Based RNN-Transformer for Hyperspectral Image Classification.

Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang, Xi Xue

IEEE Trans. Geosci. Remote. Sens., 2023

Learned Image Compression with Multi-Scan Based Channel Fusion.

Yuan Li, Weilian Zhou, Pengfeng Lu, Sei-ichiro Kamata

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Multiscanning Strategy-Based Recurrent Neural Network for Hyperspectral Image Classification.

Weilian Zhou, Sei-ichiro Kamata, Zhengbo Luo, Haipeng Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Constructing infinite deep neural networks with flexible expressiveness while training.

Zhengbo Luo, Zitang Sun, Weilian Zhou, Zizhang Wu, Sei-ichiro Kamata

Neurocomputing, 2022

Hierarchical Unified Spectral-Spatial Aggregated Transformer for Hyperspectral Image Classification.

Weilian Zhou, Sei-Ichiro Kamata, Zhengbo Luo, Xiaoyue Chen

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Rethinking Unified Spectral-Spatial-Based Hyperspectral Image Classification Under 3D Configuration of Vision Transformer.

Weilian Zhou, Sei-Ichiro Kamata, Zhengbo Luo, Xi Xue

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Residual Networks with Common Linear Multi-Step and Advanced Numerical Schemes.

Zhengbo Luo, Weilian Zhou, Sei-ichiro Kamata, Xuehui Hu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Rethinking ResNets: Improved Stacking Strategies With High Order Schemes.

Zhengbo Luo, Zitang Sun, Weilian Zhou, Sei-ichiro Kamata

CoRR, 2021

Hyperspectral Image Classification Based on Multi-stage Vision Transformer with Stacked Samples.

Xiaoyue Chen, Sei-Ichiro Kamata, Weilian Zhou

Proceedings of the IEEE Region 10 Conference, 2021

Sub-Band Grouping Spectral Feature-Attention Block for Hyperspectral Image Classification.

Weilian Zhou, Sei-ichiro Kamata, Zhengbo Luo

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential Equations.

Zhengbo Luo, Sei-ichiro Kamata, Zitang Sun, Weilian Zhou

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multi-Scanning Based Recurrent Neural Network for Hyperspectral Image Classification.

Weilian Zhou, Seiichiro-Kamata

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso.

Zhen Li, Jingtian Bai, Weilian Zhou

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018