Xuying Zheng

PhenoStream automates crop trait extraction from aerial imagery, enabling high-throughput phenotyping with reduced latency and manual effort.

A machine learning approach accelerates plant phenotyping by reducing the need for large amounts of human-annotated data, enabling faster and more efficient detection of a plant trait using aerial imagery.

This study evaluates multi-omics prediction models for oat traits across environments and populations, showing improved accuracy over genomic prediction with SNP data.

The paper analyzes SARS-CoV-2 mutation patterns over time to identify regions of intrinsic disorder linked to virus replication and release, revealing shifts in mutational activity.