SUACDNet: Attentional change detection network based on siamese U-shaped structure. - Lei Song 013; Min Xia 002; Junlan Jin; Ming Qian; Yonghong Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Axial Cross Attention Meets CNN: Bibranch Fusion Network for Change Detection. - Lei Song 013; Min Xia 002; Liguo Weng; Haifeng Lin; Ming Qian; Binyu Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multi-granularity siamese transformer-based change detection in remote sensing imagery. - Lei Song 013; Min Xia 002; Yao Xu; Liguo Weng; Kai Hu 006; Haifeng Lin; Ming Qian (Eng. Appl. Artif. Intell., 2024)

HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks. - Jia Jinghong; Lei Song 013; Jiaxing Li; Youyong Kong (AAAI, 2025)

Exploring Rationale Learning for Continual Graph Learning. - Lei Song 013; Jiaxing Li; Qinghua Si; Shihan Guan; Youyong Kong (AAAI, 2025)

M2F2Net: Multi-stage Mixed Feature Fusion Network For Remote Sensing Change Detection. - Binhao Gu; Lei Song 013; Youyong Kong; Binjie Gu (ICASSP, 2025)

Mask prompt-guided multi-stage network for vertebrae identification. - Zhikai Zhou; Ziyue Zhang; Mingying Li; Lei Song 013; Youyong Kong; Jean-Louis Coatrieux; Huazhong Shu (Biomed. Signal Process. Control., 2025)

Prompt-driven graph distillation: Enabling single-layer MLPs to outperform Deep Graph Neural Networks in graph-based tasks. - Shihan Guan; Laurent Albera; Lei Song 013; Yueying Li; Youyong Kong; Huazhong Shu; Régine Le Bouquin-Jeannès (Neurocomputing, 2025)

Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning. - Lei Song 013; Jiaxing Li; Shihan Guan; Youyong Kong (CoRR, 2025)