This inventor holds 2 USPTO granted patents. Top assignees: Disney Enterprises, Inc., Royal Bank of Canada. Active years: 2021-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021-2024
Title: Lei Chen: Innovator in Machine Learning and Content Evaluation
Introduction
Lei Chen is a notable inventor based in Burnaby, Canada. He has made significant contributions to the fields of machine learning and automated content evaluation. With a total of 2 patents, his work focuses on enhancing the capabilities of systems through innovative methodologies.
Latest Patents
Lei Chen's latest patents include a "System and method of machine learning using embedding networks" and "Automated content evaluation using a predictive model." The first patent outlines a system that adapts Grad-CAM methods for embedding networks. It includes a processor and memory that store executable instructions to obtain a subject data set, generate a feature embedding, and determine an embedding gradient weight. This system is designed to communicate interpretive data associated with the embedding gradient weight effectively. The second patent provides systems and methods for performing automated content evaluation. It utilizes a predictive model trained on audience responses to training content, transforming facial landmarks into lower-dimensional representations to predict audience reactions.
Career Highlights
Throughout his career, Lei Chen has worked with prominent companies such as Disney Enterprises, Inc. and the Royal Bank of Canada. His experience in these organizations has allowed him to develop and refine his innovative ideas in technology and machine learning.
Collaborations
Lei has collaborated with talented individuals, including Salvator D Lombardo and Cristina Segalin, who have contributed to his projects and research endeavors.
Conclusion
In summary, Lei Chen is a distinguished inventor whose work in machine learning and content evaluation has led to valuable patents and advancements in technology. His contributions continue to influence the industry and inspire future innovations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

