A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. - Shu Zhang 006; Yanqing Kang; Sigang Yu; Jinru Wu; Enze Shi; Ruoyang Wang; Zhibin He; Lei Du 001; Tuo Zhang (MLMI@MICCAI, 2022)

A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset. - Shu Zhang 006; Jinru Wu; Sigang Yu; Ruoyang Wang; Enze Shi; Yongfeng Gao; Zhengrong Liang (MMMI@MICCAI, 2022)

A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design. - Huawen Hu; Haiyang Zhang; Enze Shi; Sigang Yu; Huan Gao; Shu Zhang 006 (ICCIP, 2023)

A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. - Shu Zhang 006; Haiyang Zhang; Ruoyang Wang; Yanqing Kang; Sigang Yu; Jinru Wu (ISBI, 2023)

Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. - Yanqing Kang; Ruoyang Wang; Enze Shi; Jinru Wu; Sigang Yu; Shu Zhang 006 (MICCAI (8), 2023)

Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark. - Shu Zhang 001; Ruoyang Wang; Yanqing Kang; Sigang Yu; Huawen Hu; Haiyang Zhang (MICCAI (8), 2023)

Prompt Engineering for Healthcare: Methodologies and Applications. - Jiaqi Wang 010; Enze Shi; Sigang Yu; Zihao Wu 001; Chong Ma; Haixing Dai; Qiushi Yang; Yanqing Kang; Jinru Wu; Huawen Hu; Chenxi Yue; Haiyang Zhang; et al. (CoRR, 2023)

Review of Large Vision Models and Visual Prompt Engineering. - Jiaqi Wang 010; Zhengliang Liu; Lin Zhao 004; Zihao Wu 001; Chong Ma; Sigang Yu; Haixing Dai; Qiushi Yang; Yiheng Liu; Songyao Zhang; Enze Shi; Yi Pan 001; et al. (CoRR, 2023)

An explainable deep learning framework for characterizing and interpreting human brain states. - Shu Zhang 006; Junxin Wang; Sigang Yu; Ruoyang Wang; Junwei Han; Shijie Zhao 001; Tianming Liu 001; Jinglei Lv (Medical Image Anal., 2023)

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. - Shu Zhang 001; Enze Shi; Lin Wu; Ruoyang Wang; Sigang Yu; Zhengliang Liu; Shaochen Xu; Tianming Liu 001; Shijie Zhao 001 (Neural Networks, 2023)

MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification. - Shu Zhang 006; Jinru Wu; Enze Shi; Sigang Yu; Yongfeng Gao; Lihong Li 002; Licheng Ryan Kuo; Marc Jason Pomeroy; Jerome Zhengrong Liang (Comput. Medical Imaging Graph., 2023)

ST-GF: Graph-based Fusion of Spatial and Temporal Features for EEG Motor Imagery Decoding. - Xuhui Wang; Kui Zhao; Enze Shi; Sigang Yu; Geng Chen 001; Shu Zhang 001 (BIBM, 2024)

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion. - Xiaoshan Zhang; Enze Shi; Sigang Yu; Shu Zhang 006 (MICCAI (2), 2024)

Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer. - Yanqing Kang; Di Zhu; Haiyang Zhang; Enze Shi; Sigang Yu; Jinru Wu; Xuhui Wang; Xuan Liu; Geng Chen 001; Xi Jiang 001; Tuo Zhang; Shu Zhang 001 (CoRR, 2024)

FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling. - Enze Shi; Kui Zhao; Qilong Yuan; Jiaqi Wang 010; Huawen Hu; Sigang Yu; Shu Zhang 006 (CoRR, 2024)

MEET: A Multi-Band EEG Transformer for Brain States Decoding. - Enze Shi; Sigang Yu; Yanqing Kang; Jinru Wu; Lin Zhao 004; Dajiang Zhu; Jinglei Lv; Tianming Liu 001; Xintao Hu; Shu Zhang 006 (IEEE Trans. Biomed. Eng., 2024)

An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. - Shu Zhang 006; Lin Wu; Sigang Yu; Enze Shi; Ning Qiang; Huan Gao; Jingyi Zhao; Shijie Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Identifying influential nodes in brain networks via self-supervised graph-transformer. - Yanqing Kang; Di Zhu; Haiyang Zhang; Enze Shi; Sigang Yu; Jinru Wu; Ruoyang Wang; Geng Chen 001; Xi Jiang 001; Tuo Zhang; Shu Zhang 001 (Comput. Biol. Medicine, 2025)

Characterizing and differentiating brain states through a CS-KBRs framework for highlighting the synergy of common and specific brain regions. - Di Zhu; Shu Zhang 001; Sigang Yu; Qilong Yuan; Kui Zhao; Yanqing Kang; Tuo Zhang; Xi Jiang 001; Tianming Liu 001 (Comput. Medical Imaging Graph., 2025)