Chenyu Wu

Early behavioral indicators can drastically improve churn prediction, but their effectiveness hinges on cohort design and feature selection.

Entity embeddings outperform traditional encoding methods in high-cardinality fraud detection, achieving a record AUC-ROC score that could redefine best practices in the field.

Synthesizing realistic human mobility in data-scarce regions is now possible thanks to a dual-LLM-agent framework that learns physical constraints via reinforcement learning.