Shanghai, China

Shiyu Fang

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Tongji University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shiyu Fang. Retrieved from https://idiyas.com/inventor/shiyu-fang

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Shiyu Fang: Innovator in Autonomous Driving Technology

Introduction

Shiyu Fang is a prominent inventor based in Shanghai, China. She has made significant contributions to the field of autonomous driving technology. Her innovative work focuses on enhancing the testing methods for autonomous vehicles.

Latest Patents

Shiyu Fang holds a patent for an "Autonomous driving test method based on multi-agent swarm adversarial, device and medium." This invention relates to a method that includes deducing a conflict topological relationship graph between a tested autonomous vehicle and an agent. It also involves deducing a feasible planning space for the tested vehicle and establishing a multi-agent swarm adversarial model based on a potential game. The model adapts the adversarial intensity according to the actual response of the tested vehicle, ensuring a comprehensive testing approach.

Career Highlights

Shiyu Fang is affiliated with Tongji University, where she continues to advance her research in autonomous systems. Her work is recognized for its innovative approach to solving complex problems in autonomous vehicle testing.

Collaborations

Shiyu collaborates with notable colleagues, including Jian Sun and Peng Hang, who contribute to her research endeavors.

Conclusion

Shiyu Fang's contributions to autonomous driving technology exemplify her innovative spirit and dedication to advancing the field. Her patent reflects a significant step forward in the testing methods for autonomous vehicles, showcasing her expertise and commitment to innovation.

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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