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Weilian Zhou
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Journal Articles
- 2025
- [j5]Weilian Zhou, Sei-ichiro Kamata, Haipeng Wang, Man Sing Wong, Huiying (cynthia) Hou:
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral image classification. Neurocomputing 613: 128751 (2025) - 2024
- [j4]Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang, Pengfeng Lu, Mengyunqiu Zhang:
Segmented Recurrent Transformer With Cubed 3-D-Multiscanning Strategy for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-22 (2024) - 2023
- [j3]Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang, Xi Xue:
Multiscanning-Based RNN-Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - 2022
- [j2]Zhengbo Luo, Zitang Sun, Weilian Zhou, Zizhang Wu, Sei-ichiro Kamata:
Constructing infinite deep neural networks with flexible expressiveness while training. Neurocomputing 487: 257-268 (2022) - [j1]Weilian Zhou, Sei-ichiro Kamata, Zhengbo Luo, Haipeng Wang:
Multiscanning Strategy-Based Recurrent Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022)
Conference and Workshop Papers
- 2023
- [c9]Yuan Li, Weilian Zhou, Pengfeng Lu, Sei-ichiro Kamata:
Learned Image Compression with Multi-Scan Based Channel Fusion. ICIP 2023: 2605-2609 - 2022
- [c8]Weilian Zhou, Sei-Ichiro Kamata, Zhengbo Luo, Xi Xue:
Rethinking Unified Spectral-Spatial-Based Hyperspectral Image Classification Under 3D Configuration of Vision Transformer. ICIP 2022: 711-715 - [c7]Zhengbo Luo, Weilian Zhou, Sei-ichiro Kamata, Xuehui Hu:
Deep Residual Networks with Common Linear Multi-Step and Advanced Numerical Schemes. ICIP 2022: 3286-3290 - [c6]Weilian Zhou, Sei-Ichiro Kamata, Zhengbo Luo, Xiaoyue Chen:
Hierarchical Unified Spectral-Spatial Aggregated Transformer for Hyperspectral Image Classification. ICPR 2022: 3041-3047 - 2021
- [c5]Zhengbo Luo, Sei-ichiro Kamata, Zitang Sun, Weilian Zhou:
Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential Equations. ICASSP 2021: 1690-1694 - [c4]Weilian Zhou, Sei-ichiro Kamata, Zhengbo Luo:
Sub-Band Grouping Spectral Feature-Attention Block for Hyperspectral Image Classification. ICASSP 2021: 1820-1824 - [c3]Xiaoyue Chen, Sei-Ichiro Kamata, Weilian Zhou:
Hyperspectral Image Classification Based on Multi-stage Vision Transformer with Stacked Samples. TENCON 2021: 441-446 - 2020
- [c2]Weilian Zhou, Seiichiro-Kamata:
Multi-Scanning Based Recurrent Neural Network for Hyperspectral Image Classification. ICPR 2020: 4743-4750 - 2018
- [c1]Zhen Li, Jingtian Bai, Weilian Zhou:
Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso. ICASSP 2018: 2471-2475
Informal and Other Publications
- 2024
- [i2]Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang, Man-Sing Wong, Huiying Hou:
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification. CoRR abs/2405.12003 (2024) - 2021
- [i1]Zhengbo Luo, Zitang Sun, Weilian Zhou, Sei-ichiro Kamata:
Rethinking ResNets: Improved Stacking Strategies With High Order Schemes. CoRR abs/2103.15244 (2021)
Coauthor Index
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