Author

Feiqiao Mao

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Open access Jul 2026

CSGDA: A Cell State-Guided Graph Domain Adaptation Network for Single-Cell Drug Response Prediction

CSGDA, a cell state-guided graph domain adaptation framework designed to predict drug responses across biological heterogeneities, is introduced, demonstrating superior performance in single-cell drug response prediction and its potential in resolving single-cell heterogeneity, paving the way for precision medicine.

Fen Yan, Xi-Yue Cao, Feiqiao Mao et al. · bioRxiv · 0 citations

Jul 2026

RefineSVG: Visual Feedback-Driven Reinforcement Learning for Image-to-SVG Generation

RefineSVG, a single-step closed-loop visual feedback framework that enables multimodal large language models (MLLMs) to perform high-fidelity image-to-SVG generation through self-correction, consistently outperforms existing baselines in reconstruction fidelity, structural accuracy, and code efficiency.

Shaobo Liu, Feiqiao Mao, Shuaishuai Zhou et al. · arXiv.org · 0 citations