Publications

For a complete and current list, see my Google Scholar profile. * denotes equal contribution.

First- and Co-first-author Publications

  1. Sunan He*, Yuxiang Nie*, et al. “Towards Generalizable AI in Medicine via Generalist–Specialist Collaboration.” Nature Biomedical Engineering, 2026. Paper · Code · HKUST feature
  2. Yuxiang Nie*, Sunan He*, et al. “An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision–Language Pretraining.” Nature Biomedical Engineering, 2026. Paper · Code
  3. Taolin Zhang*, Sunan He*, et al. “Vision–Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.” AAAI, 2024.
  4. Sunan He, Taian Guo, et al. “Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer.” AAAI, 2023.

Co-authored Publications

  1. Linshan Wu, Yuxiang Nie, Sunan He, et al. “A Universal Foundation Model for Grounded Biomedical Image Interpretation.” Nature Communications 17, 7173 (2026). Paper
  2. Shu Yang et al., including Sunan He. “Large-Scale Self-Supervised Video Foundation Model for Intelligent Surgery.” npj Digital Medicine 9, 220 (2026). Paper · Code
  3. Ali Abdollahi et al., including Sunan He. “The Next Paradigm in Medical AI: A Survey of Agentic AI in Biomedicine.” IEEE Reviews in Biomedical Engineering, online ahead of print, 2026. Paper
  4. Linshan Wu, Jiaxin Zhuang, Yanning Zhou, Sunan He, et al. “Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition.” Nature Communications 16, 11053 (2025). Paper · Code
  5. Haibo Jin, Haoxuan Che, Sunan He, et al. “A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation.” IEEE Transactions on Medical Imaging, 2025.
  6. Guanghao Meng, Sunan He, et al. “EvdCLIP: Improving Vision–Language Retrieval with Entity Visual Descriptions from Large Language Model.” AAAI, 2025.
  7. Hanjun Li, Xiujun Shu, Sunan He, et al. “D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation.” ICCV, 2023.