This inventor holds 7 USPTO granted patents and 4 published patent applications. Top assignee: Lemon Inc.. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Yiqi Feng: Innovator in Knowledge Graph Construction and Machine Learning
Introduction
Yiqi Feng is a prominent inventor based in Los Angeles, CA. He has made significant contributions to the fields of knowledge graph construction and machine learning. With a total of 7 patents to his name, Feng continues to push the boundaries of technology and innovation.
Latest Patents
Feng's latest patents include a method and apparatus for knowledge graph construction, storage medium, and electronic device. This invention relates to a method for constructing knowledge graphs by obtaining a target entity identifier and determining an industry type label. The process involves constructing a knowledge graph based on the entity characterized by the target entity identifier, the industry type label, and the target attribute. Another notable patent is focused on feature crossing for machine learning. This method determines semantic correlation relationships between feature categories and performs feature crossing based on these relationships to enhance machine learning processes.
Career Highlights
Yiqi Feng is currently employed at Lemon Inc., where he applies his expertise in innovative technologies. His work has been instrumental in developing advanced methods that improve data processing and machine learning capabilities. Feng's contributions have positioned him as a key figure in his field.
Collaborations
Feng collaborates with talented individuals such as Hongyu Xiong and Han Wang. Together, they work on various projects that aim to advance the understanding and application of machine learning and knowledge graphs.
Conclusion
Yiqi Feng is a notable inventor whose work in knowledge graph construction and machine learning has garnered attention in the tech industry. His innovative patents and collaborations reflect his commitment to advancing technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
