Zhiyu Ye
Orcid: 0009-0001-0304-8099
According to our database1,
Zhiyu Ye authored at least 12 papers
between 2023 and 2025.
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Bibliography
2025
Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning.
CoRR, October, 2025
Towards Robust In-Context Learning for Medical Image Segmentation via Data Synthesis.
CoRR, September, 2025
SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Quantifying Samples with Invariance for Source-Free Class Incremental Domain Adaptation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
MAKEN: Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
C2RG: Parameter-efficient Adaptation of 3D Vision and Language Foundation Model for Coronary CTA Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation Models.
CoRR, 2023
CardiacSeg: Customized Pre-training Volumetric Transformer with Scaling Pyramid for 3D Cardiac Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
Partial-Labeled Abdominal Organ and Cancer Segmentation via Cascaded Dual-Decoding U-Net.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Adapting Pre-Trained Visual and Language Models for Medical Image Question Answering.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023