Shu Zhang

30 papers A* 1Journal 16Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
ArtEEGAttention: an advanced deep learning approach for art brain decoding.
Frontiers Comput. Sci.
Shuming Hu, Shu Zhang, Ying Zhang, Zhu Wang, Bin Guo, Zhiwen Yu
2026 J jnl
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data.
IEEE Trans. Biomed. Eng.
Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Hanqi Jiang, Yifan Zhou, Xiaoyan Kui, Youlan Shang, Lin Zhao, Li Yang, Yaonai Wei, Zhuoyi Li, Jiadong Zhang, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Wei Liu, Xiang Li, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang
2025 J jnl
Dual-level Behavioral Consistency for Inter-group and Intra-group Coordination in Multi-Agent Systems.
CoRR
Shuocun Yang, Huawen Hu, Enze Shi, Shu Zhang
2025 A* conf
HARP: Human-Assisted Regrouping With Permutation Invariant Critic for Multi-Agent Reinforcement Learning.
ICRA
Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang
2025 J jnl
TF-MEET: A Transferable Fusion Multi-Band Transformer for Cross-Session EEG Decoding.
CAAI Trans. Intell. Technol.
Qilong Yuan, Enze Shi, Di Zhu, Xiaoshan Zhang, Kui Zhao, Dingwen Zhang, Tianming Liu, Shu Zhang
2024 J jnl
A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chenglin Yu, Shu Zhang, Muheng Shang, Lei Guo, Junwei Han, Lei Du
2024 — conf
A Self-Adaptive Subgraph Generation Algorithm for EEG Channel Selection.
ISBI
Kui Zhao, Yanqing Kang, Jinru Wu, Enze Shi, Di Zhu, Shu Zhang
2024 — conf
A Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding.
BIBM
Qilong Yuan, Enze Shi, Kui Zhao, Di Zhu, Dingwen Zhang, Shu Zhang
2024 J jnl
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset.
IEEE Trans. Neural Networks Learn. Syst.
Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao
2024 J jnl
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT.
IEEE Trans. Artif. Intell.
Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li
2024 — conf
DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion.
MICCAI (2)
Xiaoshan Zhang, Enze Shi, Sigang Yu, Shu Zhang
2024 J jnl
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling.
CoRR
Enze Shi, Kui Zhao, Qilong Yuan, Jiaqi Wang, Huawen Hu, Sigang Yu, Shu Zhang
2024 J jnl
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning.
CoRR
Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang
2024 J jnl
MEET: A Multi-Band EEG Transformer for Brain States Decoding.
IEEE Trans. Biomed. Eng.
Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang
2023 — conf
A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design.
ICCIP
Huawen Hu, Haiyang Zhang, Enze Shi, Sigang Yu, Huan Gao, Shu Zhang
2023 — conf
A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach.
ISBI
Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Jinru Wu
2023 J jnl
An explainable deep learning framework for characterizing and interpreting human brain states.
Medical Image Anal.
Shu Zhang, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv
2023 — conf
Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach.
MICCAI (8)
Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang
2023 J jnl
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.
Comput. Medical Imaging Graph.
Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang
2022 — conf
A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.
MMMI@MICCAI
Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang
2022 — conf
A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure.
MLMI@MICCAI
Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang
2022 J jnl
An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography.
Sensors
Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F. Abbasi, Perry J. Pickhardt
2020 — conf
A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps.
Computer-Aided Diagnosis
Shu Zhang, Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Jiaxing Tan, Zhengrong Liang
2020 — conf
A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps.
Computer-Aided Diagnosis
Jiaxing Tan, Shu Zhang, Weiguo Cao, Yongfeng Gao, Lihong Li, Yumei Huo, Zhengrong Liang
2020 — conf
Deformation robust texture features for polyp classification via CT colonography.
Computer-Aided Diagnosis
Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Perry J. Pickhardt, Hongbing Lu, Zhengrong Liang
2020 — conf
Performance investigation of deep learning vs. classifier for polyp differentiation via texture features.
Computer-Aided Diagnosis
David Liang, David Wang, Alice Wei, Yeseul Choi, Shu Zhang, Marc Jason Pomeroy, Perry J. Pickhardt
2020 J jnl
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.
J. Digit. Imaging
Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang
2019 J jnl
An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.
Comput. Medical Imaging Graph.
Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng Gao, Marc Jason Pomeroy, Kenneth Ng, Wei Hou
2019 J jnl
Energy enhanced tissue texture in spectral computed tomography for lesion classification.
Vis. Comput. Ind. Biomed. Art
Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang, Zhengrong Liang
2019 — conf
GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis.
BHI
Jiaxing Tan, Yongfeng Gao, Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Yumei Huo, Lihong Li, Zhengrong Liang