Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
[July 2025] Our work on MRI foundation model is out!
[May 2025] Our work on exploring SAM’s fine-tuning strategy is accepted by MELBA.
[April 2025] Our work on universal bone segmentation is accepted by Medical Image Analysis.
[June 2024] Our work on anatomically-controllable image generation is accepted by MICCAI.
[March 2024] Our work on test-time adaption is accepted by CVPR Workshop as Oral Presentation.
[Sep. 2023] Our work on anomaly detection on high-resolution images is accepted by IEEE TMI.
[Aug 2023] Our work on SAM evaluation on medical domain is accepted by MedIA.
[April 2023] Our work on pluralistic image completion is accepted by MedIA.
Research Experience
Currently a Ph.D. student in Electrical & Computer Engineering at Duke University. Previously earned an M.S. in Computer Science from Duke University.
Background
Research interests include foundation models and medical image analysis. Focuses on building large-scale vision and vision-language foundation models, developing in-context learning approaches for segmentation, and designing multimodal agents that integrate imaging with language and tool use. Also interested in anomaly detection, test-time adaptation, and clinical decision support.