Fei Xiao

Title: Fei Xiao: Innovator in Information Retrieval and Anomaly Detection

Introduction

Fei Xiao is a prominent inventor based in Mountain View, California. He has made significant contributions to the fields of information retrieval and anomaly detection, holding three patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is titled "Learning characteristics for extraction of information from web pages." This invention involves a learning module designed to automatically learn distinctive characteristics used by different websites when presenting data variables of interest. The learned information can be utilized to identify data variables on arbitrary web pages, enhancing the efficiency of information retrieval systems. Another notable patent is "Detection of anomalous instances through dynamic feature selection analysis." This technology focuses on detecting anomalous user accounts by evaluating features associated with known anomalous accounts and comparing them to unknown accounts. The method calculates correlation and dependence values to generate a risk score for unknown accounts, facilitating effective account reviews.

Career Highlights

Fei Xiao is currently employed at Google Inc., where he continues to develop innovative solutions that address complex challenges in technology. His work has had a significant impact on improving information retrieval systems and enhancing security measures against anomalous activities.

Collaborations

Fei has collaborated with notable colleagues, including Cristos Jon Goodrow and Ioan Marius Pungaru, contributing to a dynamic and innovative work environment.

Conclusion

Fei Xiao's contributions to technology through his patents and work at Google Inc. highlight his role as a leading inventor in the fields of information retrieval and anomaly detection. His innovative solutions continue to shape the future of technology.