3D mixed CNNs with edge-point feature learning. - Zijin Du; Hailiang Ye; Feilong Cao (Knowl. Based Syst., 2021)

A novel 3D shape classification algorithm: point-to-vector capsule network. - Hailiang Ye; Zijin Du; Feilong Cao (Neural Comput. Appl., 2021)

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud. - Jiye Liang; Zijin Du; Jianqing Liang; Kaixuan Yao; Feilong Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Novel Local-Global Graph Convolutional Method for Point Cloud Semantic Segmentation. - Zijin Du; Hailiang Ye; Feilong Cao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust graph neural networks with Dirichlet regularization and residual connection. - Kaixuan Yao; Zijin Du; Ming Li 065; Feilong Cao; Jiye Liang (Int. J. Mach. Learn. Cybern., 2024)

Graph Regulation Network for Point Cloud Segmentation. - Zijin Du; Jianqing Liang; Jiye Liang; Kaixuan Yao; Feilong Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TSI-GCN: Translation and scaling invariant GCN for 3D point cloud analysis. - Zijin Du; Jiye Liang; Kaixuan Yao; Feilong Cao (Pattern Recognit. Lett., 2025)