Jiawei Yan

A generative deep learning method for global species distribution prediction

This paper introduces EcoVAE, a generative deep learning model for predicting global species distributions, achieving high precision and outperforming traditional methods.

A long-context language model for deciphering and generating bacteriophage genomes

This paper introduces a long-context language model for bacteriophage genomes, capable of predicting gene functions and generating novel sequences.

Riboformer: A Deep Learning Framework for Predicting Context-Dependent Translation Dynamics

Riboformer predicts context-dependent translation dynamics using deep learning, correcting artifacts and identifying sequence motifs affecting ribosome stalling.

Coupled Reaction Networks for Noise Suppression

This paper shows that coupling in reaction networks can suppress noise below a previously established lower bound with moderate energy cost.