This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Dong Yuan - Innovator in Machine Learning and Data Parsing
Introduction
Dong Yuan is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of machine learning, particularly in the area of data parsing and model training. His innovative approach focuses on enhancing the performance of trained models through root cause pattern recognition.
Latest Patents
Dong Yuan holds a patent for a system and method titled "Root cause pattern recognition based model training." This patent describes a method for retraining a machine learning (ML) algorithm associated with a trained model. The system analyzes the results of parsing unstructured data and identifies root cause patterns that lead to underperformance. By creating examples of data that include these patterns, the model can be retrained to improve its ability to detect and parse data effectively. This innovation allows for automatic identification of parsing errors and enhances the accuracy and efficiency of handling unstructured data.
Career Highlights
Dong Yuan is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning and data analysis. His work focuses on developing advanced systems that improve the functionality of machine learning models. With a patent portfolio that includes 1 patent, he continues to push the boundaries of technology in his field.
Collaborations
Dong Yuan collaborates with talented individuals such as Allison Mae Giddings and Mo Zhou. These partnerships foster a creative environment that encourages innovation and the development of cutting-edge solutions in machine learning.
Conclusion
Dong Yuan's contributions to machine learning and data parsing exemplify the impact of innovative thinking in technology. His work not only enhances the performance of machine learning models but also sets a foundation for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
