Charlotte, NC, United States of America

Victor Zitian Chen


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Victor Zitian Chen: Innovator in Integrative Causal Modeling

Introduction

Victor Zitian Chen is a notable inventor based in Charlotte, NC (US). He has made significant contributions to the field of computer science, particularly in the area of integrative causal modeling. His innovative approach combines natural language processing with advanced visualization techniques.

Latest Patents

Victor Zitian Chen holds a patent for a "Computer implemented method and system for integrative causal modeling and transfer." This invention features a hypergraph user interface designed for interaction with a system that processes natural language text. The system includes a natural language text input element that allows users to designate a natural language text file. This input element communicates the designated file to at least one natural language processing module. The hypergraph user interface also incorporates a causal hypergraph visualization element, which represents directed hypergraph data generated from the processing module. Users can select hypergraph elements to generate informative outputs related to causal links and statements derived from the natural text files.

Career Highlights

Victor is affiliated with the University of North Carolina at Charlotte, where he continues to advance his research and development in integrative causal modeling. His work has garnered attention for its innovative use of technology to enhance understanding of complex data relationships.

Collaborations

Victor collaborates with esteemed colleagues, including Wlodek Wlodzimierz Zadrozny and Wenwen Dou. Their combined expertise contributes to the advancement of research in their respective fields.

Conclusion

Victor Zitian Chen exemplifies the spirit of innovation through his work in integrative causal modeling. His contributions are paving the way for new methodologies in data analysis and visualization.

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