Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso. - Zhen Li; Jingtian Bai; Weilian Zhou (ICASSP, 2018)

Multi-Scanning Based Recurrent Neural Network for Hyperspectral Image Classification. - Weilian Zhou; Seiichiro-Kamata (ICPR, 2020)

Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential Equations. - Zhengbo Luo; Sei-ichiro Kamata; Zitang Sun; Weilian Zhou (ICASSP, 2021)

Sub-Band Grouping Spectral Feature-Attention Block for Hyperspectral Image Classification. - Weilian Zhou; Sei-ichiro Kamata; Zhengbo Luo (ICASSP, 2021)

Hyperspectral Image Classification Based on Multi-stage Vision Transformer with Stacked Samples. - Xiaoyue Chen; Sei-Ichiro Kamata; Weilian Zhou (TENCON, 2021)

Rethinking ResNets: Improved Stacking Strategies With High Order Schemes. - Zhengbo Luo; Zitang Sun; Weilian Zhou; Sei-ichiro Kamata (CoRR, 2021)

Deep Residual Networks with Common Linear Multi-Step and Advanced Numerical Schemes. - Zhengbo Luo; Weilian Zhou; Sei-ichiro Kamata; Xuehui Hu (ICIP, 2022)

Rethinking Unified Spectral-Spatial-Based Hyperspectral Image Classification Under 3D Configuration of Vision Transformer. - Weilian Zhou; Sei-Ichiro Kamata; Zhengbo Luo; Xi Xue (ICIP, 2022)

Hierarchical Unified Spectral-Spatial Aggregated Transformer for Hyperspectral Image Classification. - Weilian Zhou; Sei-Ichiro Kamata; Zhengbo Luo; Xiaoyue Chen (ICPR, 2022)

Constructing infinite deep neural networks with flexible expressiveness while training. - Zhengbo Luo; Zitang Sun; Weilian Zhou; Zizhang Wu; Sei-ichiro Kamata (Neurocomputing, 2022)

Multiscanning Strategy-Based Recurrent Neural Network for Hyperspectral Image Classification. - Weilian Zhou; Sei-ichiro Kamata; Zhengbo Luo; Haipeng Wang 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Learned Image Compression with Multi-Scan Based Channel Fusion. - Yuan Li; Weilian Zhou; Pengfeng Lu; Sei-ichiro Kamata (ICIP, 2023)

Multiscanning-Based RNN-Transformer for Hyperspectral Image Classification. - Weilian Zhou; Sei-Ichiro Kamata; Haipeng Wang 002; Xi Xue (IEEE Trans. Geosci. Remote. Sens., 2023)

Adversarial Detection Transformer For Kuzushiji Recognition. - Pengfeng Lu; Sei-Ichiro Kamata; Mengyunqiu Zhang; Weilian Zhou (ICIP, 2024)

Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification. - Weilian Zhou; Sei-Ichiro Kamata; Haipeng Wang 002; Man-Sing Wong; Huiying Hou (CoRR, 2024)

Segmented Recurrent Transformer With Cubed 3-D-Multiscanning Strategy for Hyperspectral Image Classification. - Weilian Zhou; Sei-Ichiro Kamata; Haipeng Wang 002; 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 002; Man Sing Wong; Huiying (cynthia) Hou (Neurocomputing, 2025)

When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification. - Weilian Zhou; Weixuan Xie; Sei-ichiro Kamata; Man Sing Wong; Huiying Hou; Haipeng Wang 002 (CoRR, 2025)