Towards a More Stable and General Subgraph Information Bottleneck. - Hongzhi Liu; Kaizhong Zheng; Shujian Yu; Badong Chen (ICASSP, 2023)

Identification of Predictive Subnetwork for Brain Network-Based Psychiatric Diagnosis: An Information-Theoretic Perspective. - Kaizhong Zheng; Shujian Yu; Badong Chen (ICASSP Workshops, 2023)

DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis. - Kaizhong Zheng; Bin Ma 032; Badong Chen (MLMI@MICCAI (2), 2023)

Predicting RTMS Treatment Effects Using Open-Loop Control and Neural Manifold. - Hongyu Shi; Kaizhong Zheng; Huaning Wang; Baojuan Li; Badong Chen (ICASSP, 2024)

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping. - Kaizhong Zheng; Shujian Yu; Liangjun Chen; Lujuan Dang; Badong Chen (NeuroImage, 2024)

CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis. - Kaizhong Zheng; Shujian Yu; Badong Chen (Neural Networks, 2024)

BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck. - Kaizhong Zheng; Shujian Yu; Baojuan Li; Robert Jenssen; Badong Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)