Xile Zhao — accepted AI-conference papers

2025

STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation

CVPR 2025poster

Spatial transcriptomics (ST) are emerging technologies that reveal spatial distributions of gene expressions within tissues, serving as important ways to uncover biological insights. However, the irregular spatial profiles and variability of genes make it challenging to integrate spatial information…

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2023

Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior

Xiaole Tang, Xile Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng

CVPR 2023poster

Non-blind deblurring methods achieve decent performance under the accurate blur kernel assumption. Since the kernel uncertainty (i.e. kernel error) is inevitable in practice, semi-blind deblurring is suggested to handle it by introducing the prior of the kernel (or induced) error. However, how to de…

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