Author

Xiao-Qi Sheng

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Preprint Aug 2026

Morphology-Aware Implicit Super-Resolution Network for Pathological Images

Morph-ISR is proposed, a morphology-aware implicit super-resolution framework for DP that restores diagnostically relevant details with sub-pixel precision and enhances structural fidelity, demonstrating superior preservation of diagnostically relevant cellular boundaries and nuclear textures.

Jia-Ming Liang, Qihui Han, Hao-Lin Chen et al. · 0 citations

URFPert: Unrolled Regulatory Flow Network for Out-of-Distribution Single-Cell Perturbation Prediction

Comprehensive evaluations on five single-cell perturbation datasets demonstrate that URFPert out-performs state-of-the-art methods in unseen perturbation regimes, providing a powerful tool for interpreting.

Xiao-Qi Sheng, Jia-Wen Liu, Yu-Tong Li et al. · 0 citations

Conference Open access Sep 2026

URFPert: Unrolled Regulatory Flow Networks for Out-of-Distribution Single-Cell Perturbation Prediction

Comprehensive evaluations on five single-cell perturbation datasets demonstrate that URFPert outperforms state-of-the-art methods in unseen perturbation regimes, providing a powerful tool for interpreting regulatory mechanisms.

Xiao-Qi Sheng, Jia-Wen Liu, Yu-Tong Li et al. · Proceedings of the Thirty-Fi... · 0 citations

Preprint Aug 2026

DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction

Experimental results show that DeMixPert effectively captures heterogeneous single-cell perturbation responses and achieves superior performance across unseen-perturbation settings.

Jia-Wen Liu, Xu Cao, Yu-Tong Li et al. · 0 citations

Open access Jul 2026

DSF-Net: dual selective fusion network with spatial-frequency domain encoding for retinal vessel segmentation

DSF-Net provides a robust framework for improving vessel continuity and boundary delineation in fundus images and produces more accurate and structurally coherent segmentation results, especially for thin and complex vessels.

Feng Liang, Xiaoqi Sheng, Yang Liu et al. · Frontiers of Computer Scienc... · 0 citations

#machine learning Preprint Jul 2026

CHM-Net: Center Heatmap-driven Macro-Micro Modeling Network for MRI-based Microbial Density Stratification

This work investigates MRI-based Microbial Density Stratification as a patient-level representation learning task, and Center Heatmap-driven Macro-micro modeling Network (CHM-Net) is introduced for this task, establishing the link between imaging phenotypes and microbial states through center heatmap-guided small-lesio...

Jiaming Liang, Hao Chen, Ting Li et al. · 0 citations