Resume
Academic Achievements
- Area Chair for ICLR 2026; Area Chair for CVPR 2026; One paper on medical vision-language pre-training accepted by ICCV 2025; Area Chair at MICCAI 2025; One paper on large-scale and fine-grained medical vision-language pre-training accepted by ICLR 2025 and will be presented as a Spotlight (Top 5.1%); One survey paper on attention mechanisms in medical image segmentation accepted by Computer Science Review; Awarded the Zhejiang Province Postdoctoral Research Excellence Funding Program in October 2024; Area Chair for MICCAI 2024; Three papers on medical vision-language learning, continual self-supervised learning, and image registration accepted by CVPR 2024.
Research Experience
- Senior algorithm researcher at Alibaba DAMO Academy; Postdoc research fellow at Zhejiang University; Research fellow at the Australia Institute for Machine Learning (AIML), University of Adelaide (UoA).
Education
- Was a research fellow at the Australia Institute for Machine Learning (AIML), University of Adelaide (UoA), jointly working with Dr. Johan Verjans. Before that, was a visitor at UoA under the supervision of Prof. Chunhua Shen.
Background
- Senior algorithm researcher at Alibaba DAMO Academy, and also a postdoc research fellow at Zhejiang University. Research interests span a broad spectrum in the medical AI domain, including but not limited to multi-modal learning, large language model, and vision-language pre-training. The core objective is to harness the potential of AI technology in clinical environments, thereby enhancing its value through direct applications that benefit healthcare professionals and patients alike.
Miscellany
- Recruiting interns with a passion and research background in multi-modal large language models.