Author

Shuguang Cui

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Open access Oct 2026

How Much Can AI Virtual Cells Gain from Unified Perturbational Modeling?

Predicting how individual cells respond to perturbations is a central task in artificial intelligence virtual cell (AIVC) modeling. However, integrating perturbation datasets is challenging because they differ in measured gene sets, perturbation types and cellular contexts. Existing AIVC predictors are typically develo...

Zong-Ting Wei, Yue-Dian Ye, Shu-Guang Cui et al. · bioRxiv · 0 citations

Jul 2026

One Rewrite to Fix Them All? Type-Aware Repair Allocation for Text-to-Image Prompt Optimization

Text-to-image (T2I) generators often fail to follow their prompts faithfully, producing wrong counts, swapped attributes, ambiguous relations, and illegible text. Prompt optimization repairs such failures by rewriting the user prompt, requiring no generator retraining, and has yielded promising results. However, existi...

Hao-Yue Liu, Xiao-Yu Ma, Ye-Heng Chen et al. · arXiv.org · 1 citation