Tuo Li

Title: Tuo Li: Inventor in Networking Quality-of-Service Anomaly Detection

Introduction

Tuo Li is an inventor based in Irvine, California. His work includes a patent application concerning machine-learning methods for detecting anomalies in quality-of-service networking metrics. The provided information identifies Hulu, LLC as his company and Vahidreza Arbab as a coworker.

Latest Patents

Li is associated with one patent: “Machine Learning Anomaly Detection on Quality of Service Networking Metrics.” The disclosed method receives data containing values for multiple variables and stores instances of that data in a queue. It weights the queued instances based on how data changes over time, then projects them into a space where each point represents correlations among the variables. A boundary is generated from those points, and points outside the boundary can be identified as anomalies. This approach is designed to help detect unusual patterns in networking quality-of-service metrics.

Career Highlights

The available information connects Li’s invention to Hulu, LLC. His patent work focuses on applying machine learning to network data, with the goal of identifying anomalous behavior through relationships among multiple metrics. Li is associated with 1 patent.

Collaborations

Vahidreza Arbab is identified as Li’s coworker. The provided details do not specify whether Arbab collaborated on the patent.

Conclusion

Tuo Li’s patent describes a machine-learning approach that analyzes changing, correlated networking metrics to identify anomalies, reflecting an application of data-driven methods to quality-of-service monitoring.