| 2025 | CVPR | Distilled Prompt Learning for Incomplete Multimodal Survival Prediction. | Yingxue Xu, Fengtao Zhou, Chenyu Zhao, Yihui Wang, Can Yang, Hao Chen |
| 2024 | CVPR | Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology. | Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu |
| 2024 | ECCV | Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts. | Andong Tan, Fengtao Zhou, Hao Chen |
| 2024 | ICML | Post-hoc Part-Prototype Networks. | Andong Tan, Fengtao Zhou, Hao Chen |
| 2023 | ICCV | Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification. | Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu |
| 2023 | ICCV | Cross-Modal Translation and Alignment for Survival Analysis. | Fengtao Zhou, Hao Chen |
| 2022 | IJCAI | Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. | Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu |
| 2021 | AAAI | Deep Semantic Dictionary Learning for Multi-label Image Classification. | Fengtao Zhou, Sheng Huang, Yun Xing |