Wuxi, China

Qing Yu

This inventor holds 1 USPTO granted patent. Top assignee: Wuxi Unicomp Technology Co., Ltd.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Qing Yu. Retrieved from https://idiyas.com/inventor/qing-yu-m9l7c7jo

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Qing Yu - Innovator in Battery Technology

Introduction

Qing Yu is a notable inventor based in Wuxi, China. He has made significant contributions to the field of battery technology through his innovative approaches. His work focuses on enhancing the efficiency and accuracy of battery assessments.

Latest Patents

Qing Yu holds a patent for a "Deep learning-based method and device for calculating overhang of battery." This invention involves a sophisticated process that includes obtaining a training sample image set, training a neural network to create a segmentation network model, and detecting an object detection image of the battery. The method allows for the calculation of the overhang of the battery by analyzing the top coordinates of its electrodes.

Career Highlights

Qing Yu is associated with Wuxi Unicomp Technology Co., Ltd., where he applies his expertise in deep learning and battery technology. His innovative methods have the potential to revolutionize how batteries are assessed and managed in various applications.

Collaborations

Qing Yu collaborates with talented individuals such as Jun Liu and Hua'an Xu, who contribute to his projects and research endeavors.

Conclusion

Qing Yu's work exemplifies the intersection of technology and innovation in battery management. His contributions are paving the way for advancements in the field, showcasing the importance of deep learning in practical applications.

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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