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.