Singapore, Singapore

Yujun Shi

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Lemon Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yujun Shi. Retrieved from https://idiyas.com/inventor/yujun-shi-j0p2j73o

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Yujun Shi: Innovator in Classification Model Development

Introduction

Yujun Shi is a prominent inventor based in Singapore, known for his contributions to the field of classification models. With a focus on enhancing the accuracy of classification systems, he has developed innovative methods that leverage advanced loss functions.

Latest Patents

Yujun Shi holds a patent titled "Systems and methods for generating a classification model using primary and secondary loss functions." This patent outlines a method for sample processing, where a first group of data is received, including a sample and its classification. The method involves selecting a plurality of data with the classification from the first group and determining first and second loss functions for training a classification model. These loss functions represent classification accuracy and feature distribution, ultimately increasing the model's accuracy.

Career Highlights

Yujun Shi is currently employed at Lemon Inc., where he applies his expertise in developing classification models. His work focuses on creating systems that improve the relationship between samples and their classifications, contributing significantly to advancements in the field.

Collaborations

Yujun collaborates with his coworker, Song Bai, to further enhance their research and development efforts in classification technologies.

Conclusion

Yujun Shi's innovative work in classification model development showcases his commitment to improving data processing methods. His contributions are paving the way for more accurate classification systems in various 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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