| 2026 | AAAI | Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis. | Rundong Xue, Hao Hu, Zhitao Zeng, Xiangmin Han, Zhiqiang Tian, Shaoyi Du, Yue Gao |
| 2025 | ICASSP | Cross-Template-Based Hypergraph Transformer. | Jingxi Feng, Xiangmin Han, Heming Xu, Juan Wang, Jue Jiang, Shaoyi Du, Yue Gao |
| 2025 | MICCAI | Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-center fMRI Data Analysis. | Tao Jin, Yidan Xu, Yuhan Gao, Xichun Sheng, Chenggang Yan, Yaoqi Sun, Xiangmin Han, Yue Gao |
| 2025 | MICCAI | Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI. | Rundong Xue, Xiangmin Han, Hao Hu, Zeyu Zhang, Shaoyi Du, Yue Gao |
| 2025 | MICCAI | DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis. | Rundong Xue, Hao Hu, Zeyu Zhang, Xiangmin Han, Juan Wang, Yue Gao, Shaoyi Du |
| 2025 | MICCAI | Multimodal Hypergraph Guide Learning for Non-invasive CcRCC Survival Prediction. | Jielong Yan, Xiangmin Han, Jieyi Zhao, Yue Gao |
| 2024 | MICCAI | Inter-intra High-Order Brain Network for ASD Diagnosis via Functional MRIs. | Xiangmin Han, Rundong Xue, Shaoyi Du, Yue Gao |
| 2024 | MICCAI | ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs. | Huijian Zhou, Zhiqiang Tian, Xiangmin Han, Shaoyi Du, Yue Gao |
| 2020 | MICCAI | Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. | Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi |
| 2017 | CIS | A Predictive Control Algorithm Based on Driving Behavior Data Model. | Xiangmin Han, Hong Bao, Zuxing Xuan, Feng Pan |