Author

Shuguang Cui

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Open access Oct 2026

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

This work introduces three unification modules into a variational autoencoder (VAE)-based AIVC predictor to address these sources of heterogeneity: gene-channel alignment, shared perturbation encoding, and joint embedding of gene expression and identity.

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