About
I am a Research Fellow in Biomedical Engineering at the National University of Singapore. I received my PhD in Biomedical Engineering from Beihang University in 2026. My research lies at the intersection of artificial intelligence and biomedicine, with a particular focus on computational pathology. I develop generative and vision-language models for whole-slide image analysis, virtual staining, structured report generation, and pathologist-in-the-loop clinical AI systems. My broader goal is to translate advanced AI methods into reliable, interpretable, and clinically useful tools for digital medicine.
Please visit my GitHub profile for code, project resources, and updates.
Research Interests
Selected Publications
View All →Rethinking Pathology Image Analysis through Shuffling
Z. Liu, T. Zhang, B. K. Chen, Y. Feng, S. Lyu, Y. Lei, N. Ying, Y. Feng, Y. Zhao, P. Zhang, F. Song, C. Ma, Y. He, K. Kawaguchi, H. K. Lee, Y. Jin, G. Zhang
npj Biomedical Innovations
Establish pathoentity shuffling as an effective principle for pathological image analysis.
Cellflow: Advancing pathological image augmentation from spatial views to temporal trajectories
Z. Liu, T. Zhang, Y. He, B. Wen, H. Guo, P. Zhang, C. Ma, S. Lyu, Y. Feng, Y. Zhao, Y. Jin, D. Zhao, G. Zhang
Medical Image Analysis
A temporal-aware generative framework for pathological image augmentation.
StainExpert: A Unified Multi-Expert Diffusion Framework for Multi-Target Pathological Stain Translation
Z. Liu, Y. He, T. Zhang, C. Ma, F. Song, H. Wu, R. Cai, H. Guo, B. Wen, H. Zhang, P. Zhang, D. Zhao, G. Zhang
IEEE Transactions on Medical Imaging
A multi-expert diffusion framework for translating one pathological stain to multiple target stains.
News
PASS: Rethinking Pathology Image Analysis through Shuffling was published in npj Biomedical Innovations.
Cellflow: Advancing pathological image augmentation from spatial views to temporal trajectories was published in Medical Image Analysis.
StainExpert: A Unified Multi-Expert Diffusion Framework for Multi-Target Pathological Stain Translation was published in IEEE Transactions on Medical Imaging.