Beijing, China

Yijia Wang

This inventor holds 1 USPTO granted patent. Top assignees: The Boeing Company, Tsinghua University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yijia Wang. Retrieved from https://idiyas.com/inventor/yijia-wang-76huijzt

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yijia Wang: Image-Processing Inventor

Introduction

Yijia Wang is an inventor associated with Beijing, China. Her work includes an image-processing invention designed to recognize target objects by combining parallel processing with connected-region analysis.

Latest Patents

Wang is associated with 1 patent: “Image Processing Method and Image Processing Apparatus for Recognizing Target Object.” The disclosed method acquires an original image containing a target object and binarizes it. A multi-core processor then scans each pixel row in parallel to identify one-dimensional connected regions. Adjacent rows are combined, and the heads and tails of the resulting regions are aligned to form a larger connected region. Finally, two-dimensional scanning of the aligned regions is used to recognize the target object.

Career Highlights

The information provided associates Wang with The Boeing Company and Tsinghua University. These affiliations connect her profile with both an aerospace company and a major research university.

Collaborations

Yong Wu and Jinxin Qian are identified as Wang’s coworkers. The supplied information does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Yijia Wang’s patent describes a parallel image-processing approach that organizes connected regions across pixel rows to support target-object recognition.

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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