Company Filing History:
Years Active: 2023-2024
Title: Innovator Spotlight: Liqi Xu
Introduction
Liqi Xu is a noted inventor based in Urbana, IL, with a focus on advanced data processing techniques. He has developed innovative approaches to federated query optimization, contributing significantly to the field of data science and analytics.
Latest Patents
Liqi Xu holds two patents, showcasing his commitment to enhancing query processing. One of his notable patents involves a method for federated query optimization that selects a federation engine to process queries targeting multiple data sources across distinct physical locations. The system intelligently generates various federated query plans, estimating costs and predicting runtimes to determine the most efficient plan for execution.
His other patent builds a regression model aimed at predicting processing times for federated queries across diverse data sources. This method evaluates federated queries, creating tailored query plans and forming feature vectors based on cost estimates. The trained regression model aids in selecting appropriate federation engines, ultimately streamlining query execution.
Career Highlights
Liqi Xu is currently employed at Tableau Software, Inc., a company renowned for its data visualization products and analytics solutions. His work at Tableau emphasizes improving data retrieval and processing methodologies, aligning with the company's mission to help people see and understand the data.
Collaborations
Throughout his career, Liqi has collaborated with talented individuals, including colleagues such as Richard Lee Cole and Daniel Ting. These collaborations foster a dynamic environment for innovation and problem-solving, further influencing advancements in data processing technologies.
Conclusion
Liqi Xu's contributions to the realm of federated query optimization illustrate the intersection of creativity and technology. With an impressive portfolio of patents and a solid career at Tableau Software, Inc., Liqi continues to pave the way for innovations that enhance data accessibility and efficiency. As he progresses in his career, his work will likely inspire future advancements in the field.