| 2026 | AAAI | FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning. | Xingwei Huang, Zhaobin Sun, Junjie Shi, Xin Yang, Zengqiang Yan |
| 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 | AAAI | FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise. | Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu |
| 2024 | IJCAI | From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. | Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu |
| 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 | FedMLP: Federated Multi-label Medical Image Classification Under Task Heterogeneity. | Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Kwang-Ting Cheng, 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 |
| 2024 | MICCAI | FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness. | Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan |
| 2023 | IJCAI | FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. | Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, 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 |
| 2023 | MICCAI | FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification. | Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan |
| 2021 | CVPR | Exploring intermediate representation for monocular vehicle pose estimation. | Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng |
| 2018 | MICCAI | A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation. | Zengqiang Yan, Xin Yang, Kwang-Ting (Tim) Cheng |
| 2015 | ICIP | Large-area depth recovery for RGB-D camera. | Zengqiang Yan, Li Yu, Zixiang Xiong |
| 2015 | MMSP | Texture-free large-area depth recovery for planar surfaces. | Zengqiang Yan, Li Yu, Zixiang Xiong |