This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignee: Zhejiang Lab. Active years: 2024-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2025
Title: Innovations of Inventor Ting Yu
Introduction
Ting Yu is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of technology, particularly in the areas of data classification and graph theory. With a total of 2 patents, his work showcases innovative approaches to complex computational problems.
Latest Patents
Ting Yu's latest patents include a "Dynamic maximal clique enumeration device and method based on FPGA with HBM." This invention involves a method where a high-bandwidth memory (HBM) stores dynamic edge flows, a complete graph adjacency matrix, and candidate cliques. The method enhances computing efficiency by supporting pipelined-type incremental maximal clique computations. Another patent is a "data classification method and apparatus, device and storage medium." This invention improves the accuracy of data classification by adjusting the embedded coding features of nodes in graph data based on their structural characteristics.
Career Highlights
Ting Yu is currently employed at Zhejiang Lab, where he continues to develop innovative technologies. His work focuses on enhancing computational methods and improving data processing techniques. His contributions have been instrumental in advancing the field of data science and graph theory.
Collaborations
Ting Yu collaborates with several talented individuals, including Ting Jiang and Yu Zhang. Their combined expertise fosters a creative environment that drives innovation and research.
Conclusion
Ting Yu's contributions to technology through his patents and work at Zhejiang Lab highlight his role as a leading inventor in the field. His innovative approaches to data classification and graph theory continue to influence advancements in computational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile