Xiaojun Luan

Title: Innovations by Xiaojun Luan

Introduction

Xiaojun Luan is a notable inventor based in Shanghai, China. He has made significant contributions to the field of graph databases and machine learning. With a total of 2 patents, Luan's work focuses on enhancing the efficiency and effectiveness of data processing and analysis.

Latest Patents

Luan's latest patents include "Dual write and dual read access to graph databases." This patent describes a method for operating a graph database, which involves receiving a query that identifies multiple vertices. The method includes performing hash operations on these vertices to generate hash values, allowing the query to be divided into sub-queries sent to various database repositories.

Another significant patent is "Graph-based feature engineering for machine learning models." This invention presents methods and systems that assist users in identifying and evaluating features for machine learning models. It utilizes graph data structures to provide a user interface that helps determine feature candidates based on user inputs. The effectiveness of these candidates can be evaluated and incorporated into machine learning models.

Career Highlights

Xiaojun Luan is currently employed at PayPal, Inc., where he applies his expertise in data management and machine learning. His innovative approaches have contributed to advancements in how data is utilized in financial technologies.

Collaborations

Luan has collaborated with notable colleagues, including Pengshan Zhang and Xia Zhang. Their combined efforts in research and development have furthered the impact of their work in the tech industry.

Conclusion

Xiaojun Luan's contributions to graph databases and machine learning exemplify the innovative spirit of modern technology. His patents reflect a commitment to improving data processing methods, which are essential in today's data-driven world.