Jianpeng Zhang
Scholar

Jianpeng Zhang

Google Scholar ID: KBIydr4AAAAJ
Alibaba DAMO Academy; Zhejiang University
Medical Image AnalysisCompuer Vision
Citations & Impact
All-time
Citations
6,351
 
H-index
28
 
i10-index
44
 
Publications
20
 
Co-authors
0
 
Resume (English only)
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.
Co-authors
0 total
Co-authors: 0 (list not available)