Beijing, China

Yuyang Jin

This inventor holds 1 USPTO granted patent. Top assignee: Tsinghua University. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuyang Jin. Retrieved from https://idiyas.com/inventor/yuyang-jin-rid3t402

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Yuyang Jin: Innovator in Parallel Program Scalability Detection

Introduction: Yuyang Jin is a prominent inventor based in Beijing, China. He has made significant contributions to the field of computer science, particularly in the area of parallel programming. His innovative work focuses on enhancing the efficiency and scalability of computer programs.

Latest Patents: Yuyang Jin holds a patent for a "Parallel program scalability bottleneck detection method and computing device." This method involves building a program structure graph for a program's source code and collecting performance data during runtime. The performance data includes metrics for each vertex of the program structure graph and inter-process communication dependencies. By constructing a program performance graph, he is able to detect problematic vertices and identify scalability bottlenecks effectively.

Career Highlights: Yuyang Jin is affiliated with Tsinghua University, where he continues to advance research in computer science. His work has garnered attention for its practical applications in improving program performance and scalability.

Collaborations: Yuyang Jin has collaborated with notable colleagues, including Jidong Zhai and Wenguang Chen. Their combined expertise contributes to the innovative research environment at Tsinghua University.

Conclusion: Yuyang Jin's contributions to the field of parallel programming and scalability detection are noteworthy. His patent reflects a commitment to enhancing computational efficiency, making a significant impact in the realm of computer science.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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