EEG-Based Seizure detection using linear graph convolution network with focal loss. - Yanna Zhao; Changxu Dong; Gaobo Zhang; Yaru Wang; Xin Chen; Weikuan Jia; Qi Yuan; Fangzhou Xu; Yuanjie Zheng (Comput. Methods Programs Biomed., 2021)

Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network. - Xin Chen; Yuanjie Zheng; Changxu Dong; Sutao Song (Frontiers Neuroinformatics, 2021)

Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals. - Yanna Zhao; Gaobo Zhang; Changxu Dong; Qi Yuan; Fangzhou Xu; Yuanjie Zheng (Int. J. Neural Syst., 2021)

Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning. - Yanna Zhao; Mingrui Xue; Changxu Dong; Jiatong He; Dengyu Chu; Gaobo Zhang; Fangzhou Xu; Xinting Ge; Yuanjie Zheng (Int. J. Neural Syst., 2022)

Attention-based Graph ResNet with focal loss for epileptic seizure detection. - Changxu Dong; Yanna Zhao; Gaobo Zhang; Mingrui Xue; Dengyu Chu; Jiatong He; Xinting Ge (J. Ambient Intell. Smart Environ., 2022)

Brain network classification based on dynamic graph attention information bottleneck. - Changxu Dong; Dengdi Sun (Comput. Methods Programs Biomed., 2024)

Spatial-Temporal Dynamic Hypergraph Information Bottleneck for Brain Network Classification. - Changxu Dong; Dengdi Sun (Int. J. Neural Syst., 2024)

EEG-based patient-specific seizure prediction based on Spatial-Temporal Hypergraph Attention Transformer. - Changxu Dong; Dengdi Sun; Zejing Zhang; Bin Luo 001 (Biomed. Signal Process. Control., 2025)

Multi-channel EEG-based neurological disorder classification using Cross-Dependency Spatiotemporal Interactive Network. - Changxu Dong; Zejing Zhang; Dengdi Sun (Comput. Methods Programs Biomed., 2025)

Multi-view brain network classification based on Adaptive Graph Isomorphic Information Bottleneck Mamba. - Changxu Dong; Dengdi Sun; Zhenda Yu; Bin Luo 001 (Expert Syst. Appl., 2025)

Self-supervised spatial-temporal contrastive network for EEG-based brain network classification. - Changxu Dong; Dengdi Sun; Bin Luo 001 (Neural Networks, 2025)

Challenge-aware U-net for breast lesion segmentation in ultrasound images. - Dengdi Sun; Changxu Dong; Yuchen Yan; Bo Jiang 002; Yayang Duan; Zhengzheng Tu; Chaoxue Zhang (Pattern Recognit., 2025)

HLAE: Hierarchical Local Attention Encoder for MRI Brain Tumor Image Classification. - Changxu Dong; Dengdi Sun; Bin Luo 001 (Cogn. Comput., 2025)