This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 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: 2026
Title: Yiran Li - Innovator in Machine Learning and Visual Attributes
Introduction
Yiran Li is a prominent inventor based in Burnaby, Canada. He has made significant contributions to the field of machine learning, particularly in the area of visual attribute extraction. His innovative approach combines advanced algorithms to enhance the understanding of images and their components.
Latest Patents
Yiran Li holds a patent titled "Visual attribute expansion via multiple machine learning models." This patent describes a computer-implemented method that involves receiving an image containing a type of object. The method includes segmenting the object into multiple segments using a trained segmentation machine learning model. Subsequently, these segments are input into various attribute extraction models to extract different types of attributes from each segment. This innovative technique showcases his expertise in leveraging machine learning for practical applications.
Career Highlights
Yiran Li is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies. His work at Microsoft has allowed him to collaborate with some of the brightest minds in the industry, further enhancing his skills and contributions to the field.
Collaborations
Yiran has worked alongside notable colleagues such as Pramod Kumar Sharma and Yijian Xiang. Their collaborative efforts have led to advancements in machine learning and visual processing technologies.
Conclusion
Yiran Li is a talented inventor whose work in machine learning and visual attributes is paving the way for future innovations. His patent and contributions to Microsoft Technology Licensing, LLC highlight his commitment to advancing technology in meaningful ways.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
