Company Filing History:
Years Active: 2025
Title: Chuan Xu: Innovator in Topological Order Determination
Introduction
Chuan Xu is a notable inventor based in Morrisville, NC (US). He has made significant contributions to the field of causal graphs, particularly in the area of topological order determination. With a total of 2 patents, his work showcases innovative methods that enhance the understanding and application of directed acyclic graphs (DAGs).
Latest Patents
Chuan Xu's latest patents focus on a system and method for generating a topological order of a DAG. This involves creating residual series vectors, calculating normality statistics and mean squared error (MSE) values for these vectors, and comparing the normality statistic values with a critical value. For each normality statistic value that is less than or equal to the critical value, a variable index is added to a temporary order list, along with the corresponding MSE value to an MSE list. The process includes counting the number of elements in the temporary order list and updating the order list based on the results, ultimately outputting the order list as the topological order of the DAG.
Career Highlights
Chuan Xu is currently employed at SAS Institute Inc., a leading analytics software company. His role involves applying his expertise in causal graphs to develop innovative solutions that address complex data challenges. His contributions have been instrumental in advancing the capabilities of the company's analytical tools.
Collaborations
Chuan has collaborated with talented individuals such as Xilong Chen and Sylvie Tchumtchoua Kabisa. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking solutions.
Conclusion
Chuan Xu's work in topological order determination has made a significant impact in the field of causal graphs. His innovative patents and collaborations highlight his dedication to advancing technology and analytics. His contributions continue to shape the future of data analysis and graph theory.