Sigang Yu

According to our database, Sigang Yu authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset.

Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao

IEEE Trans. Neural Networks Learn. Syst., June, 2024

MEET: A Multi-Band EEG Transformer for Brain States Decoding.

Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang

IEEE Trans. Biomed. Eng., May, 2024

FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling.

Enze Shi, Kui Zhao, Qilong Yuan, Jiaqi Wang, Huawen Hu, Sigang Yu, Shu Zhang

CoRR, 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, Xi Jiang, Tuo Zhang, Shu Zhang

CoRR, 2024

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion.

Xiaoshan Zhang, Enze Shi, Sigang Yu, Shu Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.

Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang

Comput. Medical Imaging Graph., September, 2023

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.

Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao

Neural Networks, August, 2023

An explainable deep learning framework for characterizing and interpreting human brain states.

Shu Zhang, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv

Medical Image Anal., 2023

Review of Large Vision Models and Visual Prompt Engineering.

Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.

Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2023

Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark.

Shu Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Huawen Hu, Haiyang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach.

Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Jinru Wu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Proceedings of the 9th International Conference on Communication and Information Processing, 2023

2022

A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.

Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang

Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure.

Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022