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 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)

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)

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)

A Self-Adaptive Subgraph Generation Algorithm for EEG Channel Selection. - Kui Zhao; Yanqing Kang; Jinru Wu; Enze Shi; Di Zhu; Shu Zhang 006 (ISBI, 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)

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)

Unraveling environmental influences on the spatial and temporal dynamics of cyanobacterial blooms in Lake Erhai during its early stage of eutrophication. - Shangbo Yang; Jianzhong Lu; Xiaoling Chen; Xuejiao Hou; Zushuai Wei; Jinru Wu (Geo spatial Inf. Sci., 2024)

Dual-Q network deep reinforcement learning-based computation offloading method for industrial internet of things. - Ruizhong Du; Jinru Wu; Yan Gao (J. Supercomput., 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)

Deep reinforcement learning with dual-Q and Kolmogorov-Arnold Networks for computation offloading in Industrial IoT. - Jinru Wu; Ruizhong Du; Ziyuan Wang (Comput. Networks, 2025)