An iterative data-model co-optimization framework for reliable and interpretable virtual IHC staining.
I am a Ph.D. student at East China Normal University, advised by Prof. Yan Wang. My research interests include image restoration, vision-language models, and AI for science.
Before starting my Ph.D., I received my master's degree from East China Normal University, advised by Prof. Yan Wang. And I worked as a research intern at Huawei (2024-2025).
An iterative data-model co-optimization framework for reliable and interpretable virtual IHC staining.
Measurement-consistent arbitrary-scale medical slice reconstruction with geometry-aware spline priors.
A neural operator designed to model spatially varying and locally discontinuous blur in pathology images.
A frequency-domain deblurring network that learns the image degradation process at the kernel level.
A human annotation-free framework for pathologically consistent multi-biomarker stain transfer.
A general segmentation framework for diverse nuclei in immunohistochemistry images.
A pixel-wise spatially varying degradation model for dataset-free blind super-resolution.
A cross-view network combining inter-slice and intra-slice information for medical slice synthesis.
Huawei Research on vision-language models and interactive open-world object detection. 2024.07-2025.06