Author

Jia-Wen Liu

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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