Lulu Li

Title: Lulu Li: Inventor Advancing Knowledge-Graph-Based Fraud Detection.

Introduction

Lulu Li is an inventor based in Millbrae, California, whose work focuses on applying knowledge graphs to fraud detection and contextual decision-making. Her patent disclosures describe methods for analyzing patterns in identification images and transaction data to help identify potential fraud.

Latest Patents

Li’s two listed patents address related applications of knowledge graphs.

- “System and Method of Knowledge Graph Based ID Anomaly Detection in Order to Determine if the Anomaly Is Associated with ID Fraud” describes processing image fragments from an identification document and evaluating them through a workflow. Human-curated information and a knowledge-graph schema can help define relevant nodes and relationships. The system compares evaluation results with a gold standard image and uses image patterns to detect anomalies that may indicate fraud.

- “Knowledge Graph Generation for Contextual Decision Making” describes encoding transaction-related data fragments as nodes in transactional and knowledge graphs. Connections between nodes are generated from the data, and clustering helps identify patterns. Contextual information captured through those patterns can support decisions, including reversing decisions to identify fraud.

Career Highlights

Li is associated with Jumio Corporation, a company focused on identity verification and fraud prevention. Her patent work reflects the use of structured data relationships and pattern analysis to support identity and transaction assessments. The supplied information lists 2 patents.

Collaborations

Li’s listed coworkers include Ashwin Pingali and Arman Mohseni-Kabir. Their shared professional context at Jumio Corporation connects their work to identity verification and fraud-detection technologies.

Conclusion

Lulu Li’s inventions apply knowledge graphs to identify suspicious patterns in identification images and transaction data, contributing to technology for contextual decision-making and fraud detection.