About me
My name is Haoyu Dong, a forth-year Ph.D. student in Electrical & Computer Engineering at Duke University, advised by Prof. Maciej A. Mazurowski. I previously earned my M.S. in Computer Science at Duke, working with Prof. Guillermo Sapiro, and my B.S. in Mathematics–Computer Science and Cognitive Science at UC San Diego, working with Prof. Zhuowen Tu.
My research focuses on foundation models and data-centric AI for medical imaging. I build large-scale vision and vision–language foundation models, develop in-context learning approaches for segmentation, and design multimodal agents that integrate imaging with language and tool use. I am also interested in anomaly detection, test-time adaptation, and clinical decision support, with the broader goal of enabling robust, universal, and clinically meaningful medical AI systems.
Recent News
- 🔥 [July 2025] Our work (PDF) on MRI foundation model is out!
- 🔥 [May 2025] Our work (PDF) on exploring SAM’s fine-tuning strategy is accepted by MELBA.
- 🔥 [April 2025] Our work (PDF) on universal bone segmentation is accepted by Medical Image Analysis.
- [June 2024] Our work (PDF) on anatomically-controllable image generation is accepted by MICCAI.
- [March 2024] Our work (PDF) on test-time adaption is accepted by CVPR Workshop as Oral Presentation.
- [Sep. 2023] Our work (PDF) on anomaly detection on high-resolution images is accepted by IEEE TMI.
- [Aug 2023] Our work (PDF) on SAM evaluation on medical domain is accepted by MedIA.
- [April 2023] Our work (PDF) on pluralistic image completion is accepted by MedIA.