| 2024 | ICIP | Adversarial Detection Transformer For Kuzushiji Recognition. | Pengfeng Lu, Sei-Ichiro Kamata, Mengyunqiu Zhang, Weilian Zhou |
| 2023 | ICIP | Learned Image Compression with Multi-Scan Based Channel Fusion. | Yuan Li, Weilian Zhou, Pengfeng Lu, Sei-ichiro Kamata |
| 2022 | ICIP | Deep Residual Networks with Common Linear Multi-Step and Advanced Numerical Schemes. | Zhengbo Luo, Weilian Zhou, Sei-ichiro Kamata, Xuehui Hu |
| 2022 | ICIP | Rethinking Unified Spectral-Spatial-Based Hyperspectral Image Classification Under 3D Configuration of Vision Transformer. | Weilian Zhou, Sei-Ichiro Kamata, Zhengbo Luo, Xi Xue |
| 2022 | ICPR | Hierarchical Unified Spectral-Spatial Aggregated Transformer for Hyperspectral Image Classification. | Weilian Zhou, Sei-Ichiro Kamata, Zhengbo Luo, Xiaoyue Chen |
| 2021 | ICASSP | Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential Equations. | Zhengbo Luo, Sei-ichiro Kamata, Zitang Sun, Weilian Zhou |
| 2021 | ICASSP | Sub-Band Grouping Spectral Feature-Attention Block for Hyperspectral Image Classification. | Weilian Zhou, Sei-ichiro Kamata, Zhengbo Luo |
| 2021 | Tencon | Hyperspectral Image Classification Based on Multi-stage Vision Transformer with Stacked Samples. | Xiaoyue Chen, Sei-Ichiro Kamata, Weilian Zhou |
| 2020 | ICPR | Multi-Scanning Based Recurrent Neural Network for Hyperspectral Image Classification. | Weilian Zhou, Seiichiro-Kamata |
| 2018 | ICASSP | Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso. | Zhen Li, Jingtian Bai, Weilian Zhou |