GFTLSTM: Dynamic Graph Neural Network Model Based on Graph Framelets Transform. - Shengpeng Yang; Siwei Zhou; Shasha Yang; Jiandong Shi (INTETAIN, 2023)

Online educational video engagement prediction based on dynamic graph neural networks. - Xiancheng Ou; Yuting Chen; Siwei Zhou; Jiandong Shi (Int. J. Web Inf. Syst., 2023)

DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images. - Xuechen Zhang 003; Isaac Cheng; Yingzhao Jin; Jiandong Shi; Chenrui Li; Jing-Hao Xue; Lai-Shan Tam; Weichuan Yu (Comput. Biol. Medicine, 2024)

Framelet-based dual hypergraph neural networks for student performance prediction. - Yazhi Yang; Jiandong Shi; Ming Li 065; Hamido Fujita (Int. J. Mach. Learn. Cybern., 2024)

Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation. - Jiandong Shi; Ming Li 065; Yuting Chen; Lixin Cui; Lu Bai 001 (Inf. Sci., 2025)

FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation. - Ming Li 065; Jiandong Shi; Lu Bai 001; Changqin Huang; Yunliang Jiang; Ke Lu; Shijin Wang; Edwin R. Hancock (Pattern Recognit., 2025)