LMS-FIR based digital background calibration for the four-channel time-interleaved ADC. - Yongsheng Wang; Shanshan Li; Ruoyang Wang; Xiaowei Liu (ASICON, 2017)

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)

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)

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)

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)