| 2026 | AAAI | Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection. | Bin Pu, Xingguo Lv, Jiewen Yang, Kai Xu, Lei Zhao, Zuozhu Liu, Kenli Li |
| 2026 | AAAI | Organ-Aware Routing Mixture-of-Retrieval Augmented Generation for Fetal Ultrasound Reporting. | Bin Pu, Siyu Wang, Rongbin Li, Xinpeng Ding, Lei Zhao, Chaoqi Chen, Shengli Li, Kenli Li |
| 2026 | AAAI | Unified Mixture-of-Experts Framework for Joint Cardiac and Vascular Ultrasound Analysis and Report Generation. | Bin Pu, Jiewen Yang, Xingguo Lv, Kai Xu, Kenli Li |
| 2026 | AAAI | MPA: Multimodal Prototype Augmentation for Few-Shot Learning. | Liwen Wu, Wei Wang, Lei Zhao, Zhan Gao, Qika Lin, Shaowen Yao, Zuozhu Liu, Bin Pu |
| 2026 | ACL | MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning. | Zhihui Chen, Kai He, Qingyuan Lei, Bin Pu, Jian Zhang, Yuling Xu, Mengling Feng |
| 2026 | WWW | Concept Relationship Embedding-Based Interactive Web Application for Explainable Medical Diagnosis. | Lei Zhao, Xingguo Lv, Qika Lin, Kaize Shi, Xiaoming Qi, Bin Pu, Kenli Li |
| 2025 | AAAI | Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation. | Bin Pu, Xingguo Lv, Jiewen Yang, Xingbo Dong, Yiqun Lin, Shengli Li, Kenli Li, Xiaomeng Li |
| 2025 | AAAI | Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection. | Bin Pu, Liwen Wang, Jiewen Yang, Xingbo Dong, Benteng Ma, Zhuangzhuang Chen, Lei Zhao, Shengli Li, Kenli Li |
| 2025 | CVPR | Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation. | Xingguo Lv, Xingbo Dong, Liwen Wang, Jiewen Yang, Lei Zhao, Bin Pu, Zhe Jin, Xuejun Li |
| 2025 | ICCV | EA-KD: Entropy-Based Adaptive Knowledge Distillation. | Chi-Ping Su, Ching-Hsun Tseng, Bin Pu, Lei Zhao, Jiewen Yang, Zhuangzhuang Chen, Shin-Jye Lee |
| 2025 | MICCAI | Personalized Federated Side-Tuning for Medical Image Classification. | Jiayi Chen, Benteng Ma, Yongsheng Pan, Bin Pu, Hengfei Cui, Yong Xia |
| 2025 | MICCAI | Concept-Induced Graph Perception Model for Interpretable Diagnosis. | Lei Zhao, Changjian Chen, Bin Pu, Xiaoming Qi, Fengfeng Peng, Chunlian Wang, Kenli Li, Guanghua Tan |
| 2025 | MICCAI | Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images. | Ying Zhu, Bocheng Liang, Ningshu Li, Lei Zhao, Xi Li, Hao Li, Fengwei Yang, Bin Pu |
| 2024 | CVPR | M | Bin Pu, Liwen Wang, Jiewen Yang, Guannan He, Xingbo Dong, Shengli Li, Ying Tan, Ming Chen, Zhe Jin, Kenli Li, Xiaomeng Li |
| 2024 | ECCV | CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos. | Jiewen Yang, Yiqun Lin, Bin Pu, Jiarong Guo, Xiaowei Xu, Xiaomeng Li |
| 2024 | ICML | Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images. | Bin Pu, Xingguo Lv, Jiewen Yang, Guannan He, Xingbo Dong, Yiqun Lin, Shengli Li, Tan Ying, Fei Liu, Ming Chen, Zhe Jin, Kenli Li, Xiaomeng Li |
| 2024 | IJCNN | Boosting the Transferability of Adversarial Examples via Adaptive Attention and Gradient Purification Methods. | Liwen Wu, Lei Zhao, Bin Pu, Yi Zhao, Xin Jin, Shaowen Yao |
| 2022 | UIC | MDAFF-Net: A Multi-scale Dual-attention Feature Fusion Model for Long-term Traffic Prediction. | Yan Kang, Siyu Xie, Bin Pu |