Hong Kong, China

Yixuan Yuan

This inventor holds 8 USPTO granted patents and 1 published patent application. Top assignee: City University of Hong Kong. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yixuan Yuan. Retrieved from https://idiyas.com/inventor/yixuan-yuan

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

USPTO Granted Patents = 8 

% Patents Active = 100.0

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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8 patents (USPTO):Explore Patents

Title: Innovations of Yixuan Yuan: A Pioneer in Microwave Photonic Processing and Intelligent Agriculture

Introduction

Yixuan Yuan is a prominent inventor based in Hong Kong, known for his groundbreaking contributions to the fields of microwave photonic processing and intelligent agriculture. With a total of seven patents to his name, Yuan has demonstrated a commitment to advancing technology through innovative solutions.

Latest Patents

Yuan's latest patents include an "Integrated lithium niobate microwave photonic processing engine." This invention is an integrated MWP processing engine based on a thin-film lithium niobate platform, capable of performing computation tasks of analog signals at speeds up to 92G samples per second. The engine integrates a high-speed electro-optic modulation block and a multi-purpose low-loss signal processing section on the same chip, fabricated from a 4-inch wafer-scale process. This innovation showcases high-speed analog computation, achieving computing accuracies of up to 98.1%. It has been applied in three proof-of-concept applications: ordinary differential equation solving, ultra-wideband signal generation, and high-speed edge detection of images. The ultrafast LN MWP engine offers compact, low-power, low-latency, and cost-effective solutions.

Another significant patent is the "Method and apparatus using semi-supervised deep convolution neural network for crop yield estimation in intelligent agriculture." This method utilizes monitoring data from drones, including video footage of crops, to estimate crop yield. By sampling the video at a predefined frame rate, the method inputs images into a crop yield estimation model, which is trained using a semi-supervised learning approach. This innovation allows for accurate quantity and quality estimations of crops, determining their total number and maturity levels.

Career Highlights

Yuan is affiliated with the City University of Hong Kong, where he continues to push the boundaries of research and innovation. His work has garnered attention for its practical applications and potential impact on various industries.

Collaborations

Yuan collaborates with notable colleagues, including Xiaoqing Guo and Condon Lau, contributing to a dynamic research environment that fosters innovation and creativity.

Conclusion

Yixuan Yuan's contributions to microwave photonic processing and intelligent agriculture exemplify the power of innovation in addressing contemporary challenges. His patents reflect a deep understanding of technology and its applications, positioning him as a leading figure in his field.

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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