Xiao Liu

Title: Innovations by Inventor Xiao Liu

Introduction

Xiao Liu is an accomplished inventor based in Kirkland, WA (US). She has made significant contributions to the field of data structures and machine learning. Her innovative work has led to the development of a unique patent that enhances the understanding of relationships among topics in web documents.

Latest Patents

Xiao Liu holds a patent for a technique that generates a graph data structure identifying relationships among topics expressed in web documents. This technique produces a graph based on partially unstructured information dispersed over various documents. It involves applying a machine-trained model to identify topics within the documents. The method generates count information by counting occurrences of individual topics and their co-occurrences. Additionally, it formulates conditional probability information, which describes the likelihood of one topic occurring given the presence of another. This information is then structured into a graph data format, providing a foundation for various computer-implemented services.

Career Highlights

Xiao Liu is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate and contribute to advancements in technology. Her work is recognized for its potential applications in enhancing data analysis and information retrieval.

Collaborations

Xiao Liu collaborates with talented individuals such as Ziliu Li and Junaid Ahmed, who contribute to her projects and research endeavors.

Conclusion

Xiao Liu's innovative patent and her work at Microsoft Technology Licensing, LLC highlight her significant contributions to the field of data structures and machine learning. Her efforts continue to pave the way for advancements in understanding complex relationships in data.