Huawen Zhong

The paper uses single-cell RNA sequencing to show that transposable element transcription is linked to cell-type identity and physiological functions in the coral Acropora hemprichii.

Unify learns universal cell embeddings across species by integrating RNA expression with protein and general language model embeddings, enabling cross-species comparisons and accurate perturbation response prediction.

The paper shows that glucose from symbiotic algae supports nitrogen assimilation in Aiptasia, enabling survival in nutrient-poor environments.

CLEAR is a self-supervised contrastive learning framework for scRNA-seq that improves clustering, batch correction, and pseudo-time inference by reducing technical noise and heterogeneity.