Sigang Yu

22 papers Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner.
MICCAI (7)
Enze Shi, Huawen Hu, Qilong Yuan, Kui Zhao, Sigang Yu, Shu Zhang
2025 J jnl
Characterizing and differentiating brain states through a CS-KBRs framework for highlighting the synergy of common and specific brain regions.
Comput. Medical Imaging Graph.
Di Zhu, Shu Zhang, Sigang Yu, Qilong Yuan, Kui Zhao, Yanqing Kang, Tuo Zhang, Xi Jiang, Tianming Liu
2025 — conf
Dybrainformer: Decoding Dynamic Brain Semantics with Hierarchical Transformer for Brainmultimedia Association.
BIBM
Sigang Yu, Shu Zhang
2025 — conf
HubRL: A Reinforcement Learning Framework for Brain Hub Identification via Dynamic-Static Network Fusion.
BIBM
Xuan Liu, Shuocun Yang, Huawen Hu, Di Zhu, Sigang Yu, Shu Zhang
2025 J jnl
Identifying influential nodes in brain networks via self-supervised graph-transformer.
Comput. Biol. Medicine
Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Ruoyang Wang, Geng Chen, Xi Jiang, Tuo 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 — 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
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer.
CoRR
Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Xuhui Wang, Xuan Liu, Geng Chen, Xi Jiang, Tuo Zhang, 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
2024 — conf
ST-GF: Graph-based Fusion of Spatial and Temporal Features for EEG Motor Imagery Decoding.
BIBM
Xuhui Wang, Kui Zhao, Enze Shi, Sigang Yu, Geng Chen, 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 J jnl
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.
Neural Networks
Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao
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 — conf
Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark.
MICCAI (8)
Shu Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Huawen Hu, Haiyang 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
2023 J jnl
Prompt Engineering for Healthcare: Methodologies and Applications.
CoRR
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
2023 J jnl
Review of Large Vision Models and Visual Prompt Engineering.
CoRR
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
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