| 2025 | ICRA | HARP: Human-Assisted Regrouping With Permutation Invariant Critic for Multi-Agent Reinforcement Learning. | Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang |
| 2025 | MICCAI | BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner. | Enze Shi, Huawen Hu, Qilong Yuan, Kui Zhao, Sigang Yu, Shu Zhang |
| 2025 | MICCAI | Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset. | Chenxi Yue, Huawen Hu, Qilong Yuan, Enze Shi, Jiaqi Wang, Kui Zhao, Xuhui Wang, Shu Zhang |
| 2024 | MICCAI | DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion. | Xiaoshan Zhang, Enze Shi, Sigang Yu, Shu Zhang |
| 2024 | NAACL | Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations. | Enze Shi, Lei Ding, Linglong Kong, Bei Jiang |
| 2023 | MICCAI | Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. | Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang |
| 2023 | MICCAI | A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding. | Tianyang Zhong, Xiaozheng Wei, Enze Shi, Jiaxing Gao, Chong Ma, Yaonai Wei, Songyao Zhang, Lei Guo, Junwei Han, Tianming Liu, Tuo Zhang |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | 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 |