| 2025 | MICCAI | Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts. | Qijie Wang, Xian Lin, Zengqiang Yan |
| 2024 | AAAI | DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation. | Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan |
| 2024 | MICCAI | Segment Any Cancer in CT Scans Through Equipping SAM with Cross-Slice Interaction and Indicator Prompt. | Xian Lin, Zhehao Wang, Caozhi Shang, Junjie Shi, Zengqiang Yan, Li Yu |
| 2024 | MICCAI | Revisiting Self-attention in Medical Transformers via Dependency Sparsification. | Xian Lin, Zhehao Wang, Zengqiang Yan, Li Yu |
| 2024 | MICCAI | Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting. | Xian Lin, Yangyang Xiang, Li Yu, Zengqiang Yan |
| 2024 | MICCAI | CDL-UNet: Curriculum-Driven Lightweight 3D U-Net for Abdominal Organ Segmentation. | Zhehao Wang, Xian Lin, Junjie Shi, Caozhi Shang, Li Yu, Zengqiang Yan |
| 2023 | MICCAI | ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. | Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu |