GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis. - Jiaxing Tan; Yongfeng Gao; Weiguo Cao; Marc Jason Pomeroy; Shu Zhang 006; Yumei Huo; Lihong Li 002; Zhengrong Liang (BHI, 2019)

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. - Shu Zhang 006; Fangfang Han; Zhengrong Liang; Jiaxing Tan; Weiguo Cao; Yongfeng Gao; Marc Jason Pomeroy; Kenneth Ng; Wei Hou (Comput. Medical Imaging Graph., 2019)

Energy enhanced tissue texture in spectral computed tomography for lesion classification. - Yongfeng Gao; Yongyi Shi; Weiguo Cao; Shu Zhang 006; Zhengrong Liang (Vis. Comput. Ind. Biomed. Art, 2019)

A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps. - Shu Zhang 006; Weiguo Cao; Marc Jason Pomeroy; Yongfeng Gao; Jiaxing Tan; Zhengrong Liang (Computer-Aided Diagnosis, 2020)

Deformation robust texture features for polyp classification via CT colonography. - Weiguo Cao; Marc Jason Pomeroy; Shu Zhang 006; Perry J. Pickhardt; Hongbing Lu; Zhengrong Liang (Computer-Aided Diagnosis, 2020)

Performance investigation of deep learning vs. classifier for polyp differentiation via texture features. - David Liang; David Wang; Alice Wei; Yeseul Choi; Shu Zhang 006; Marc Jason Pomeroy; Perry J. Pickhardt (Computer-Aided Diagnosis, 2020)

A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps. - Jiaxing Tan; Shu Zhang 006; Weiguo Cao; Yongfeng Gao; Lihong Li 002; Yumei Huo; Zhengrong Liang (Computer-Aided Diagnosis, 2020)

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. - Fangfang Han; Linkai Yan; Junxin Chen 001; Yueyang Teng; Shuo Chen 005; Shouliang Qi; Wei Qian 001; Jie Yang; William Moore; Shu Zhang 006; Zhengrong Liang (J. Digit. Imaging, 2020)

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)

An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography. - Weiguo Cao; Marc Jason Pomeroy; Shu Zhang 006; Jiaxing Tan; Zhengrong Liang; Yongfeng Gao; Almas F. Abbasi; Perry J. Pickhardt (Sensors, 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)

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)

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 Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding. - Qilong Yuan; Enze Shi; Kui Zhao; Di Zhu; Dingwen Zhang; Shu Zhang 006 (BIBM, 2024)

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)

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)

HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning. - Huawen Hu; Enze Shi; Chenxi Yue; Shuocun Yang; Zihao Wu 001; Yiwei Li 002; Tianyang Zhong; Tuo Zhang; Tianming Liu 001; Shu Zhang 006 (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)

A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics. - Chenglin Yu; Shu Zhang 006; Muheng Shang; Lei Guo 002; Junwei Han; Lei Du 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT. - Chong Ma; Zihao Wu 001; Jiaqi Wang 010; Shaochen Xu; Yaonai Wei; Zhengliang Liu; Fang Zeng; Xi Jiang 001; Lei Guo 002; Xiaoyan Cai; Shu Zhang 006; Tuo Zhang; et al. (IEEE Trans. Artif. Intell., 2024)

Dual-level Behavioral Consistency for Inter-group and Intra-group Coordination in Multi-Agent Systems. - Shuocun Yang; Huawen Hu; Enze Shi; Shu Zhang 006 (CoRR, 2025)