| 2025 | CBMS | Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification. | Qiao Chen, Hongming Xu, Xinyu Hao, Qibin Zhang, Huamin Qin, Tommi Krkkinen, Fengyu Cong |
| 2025 | MICCAI | Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images. | Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Ilkka Plnen, Fengyu Cong |
| 2025 | MICCAI | Predicting Radiation Therapy Response Based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI. | Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Xiaofeng Wang, Ilkka Plnen, Fengyu Cong |
| 2025 | MICCAI | Multi-modal Knowledge Decomposition Based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology. | Qibin Zhang, Xinyu Hao, Qiao Chen, Rui Xu, Fengyu Cong, Cheng Lu, Hongming Xu |
| 2024 | ADMA | GCS: A Graph-Augmented Semi-supervised Contrastive Learning Approach for Imbalanced Dissolved Gas Analysis in Power Transformers. | Ke Shu, Huifang Ma, Li Yu, Qibin Zhang |
| 2020 | IJCNN | Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. | Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He |