Haoyang Li

AutoBA is an AI agent that automates multi-omic analyses using large language models, offering adaptability and security across various sequencing and omics data types.

PPML-Omics is a privacy-preserving federated learning method that balances privacy protection and model utility across three omic data tasks.

The paper introduces AFS, a tool to revoke patients' private data from pre-trained models by auditing usage and purifying knowledge, tested across multiple tasks and datasets.

DeepTRs identifies tandem repeat variations directly from Nanopore reads using multi-modal conversion and deep learning, achieving high sensitivity, accuracy, and completeness.

DeeReCT-TSS improves TSS annotation across cell types using DNA sequences and RNA-seq data, outperforming sequence-only methods and enabling cell-type-specific TSS identification.