This inventor holds 5 USPTO granted patents and 1 published patent application. Top assignees: Ernst & Young U.S. LLP, Ernst & Young U.s.llp, Eygs LLP. Active years: 2020-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2020-2026
Title: The Innovative Mind of Vincent Poon
Introduction
Vincent Poon is a notable inventor based in Millbrae, California. He has made significant contributions to the field of technology, particularly in machine learning and data extraction. With a total of four patents to his name, Poon's work showcases his expertise and innovative thinking.
Latest Patents
Vincent Poon's latest patents include groundbreaking methods in machine learning. One of his patents, titled "Machine learning based extraction of partition objects from electronic documents," describes an object-extraction method that generates multiple partition objects from an electronic document. This method utilizes a machine learning model to detect and display subsets of partition objects based on user interactions. Another patent, "Machine learning based file ranking methods and systems," outlines a multi-label ranking method that processes signals from artificial neural networks to improve data ranking and accuracy.
Career Highlights
Throughout his career, Vincent Poon has worked with prominent organizations, including Ernst & Young U.S. LLP. His experience in these companies has allowed him to refine his skills and contribute to various innovative projects.
Collaborations
Vincent has collaborated with talented individuals such as Ravi Kiran Reddy Palla and Dan G Tecuci. These partnerships have further enhanced his work and led to the development of advanced technologies.
Conclusion
Vincent Poon's contributions to machine learning and data extraction highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex systems and a commitment to improving user experiences.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile