Carl Yang

Contrastive unlearning efficiently removes data influence while preserving model performance.

CASGNN improves missing data imputation by focusing on causal relationships.

A framework to enhance safety in LLM agents across various applications.

A new framework assesses graph condensation methods for improved machine learning efficiency.