New Taipei, Taiwan

Yu-Yu Shih

This inventor holds 1 USPTO granted patent. Top assignee: Wistron Corporation. Active years: 2026.

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

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yu-Yu Shih: Innovator in Object Detection Systems

Introduction

Yu-Yu Shih is a prominent inventor based in New Taipei, Taiwan. He has made significant contributions to the field of object detection through his innovative patent. His work focuses on enhancing training and testing systems, which are crucial for developing reliable machine learning models.

Latest Patents

Yu-Yu Shih holds a patent for a "Training system and method, testing system and method, data filtering system and method, and computer readable recording medium with stored program." This invention provides a comprehensive approach to verifying the completion of training set learning for object detection models. It also addresses the issue of overfitting by utilizing a validation set. The system outputs a master model before overfitting occurs and iterates the master model to align with test set results. This innovation ensures data marking consistency and optimizes training data selection.

Career Highlights

Yu-Yu Shih is associated with Wistron Corporation, where he applies his expertise in developing advanced technologies. His work has been instrumental in pushing the boundaries of object detection systems, making them more efficient and reliable.

Collaborations

Yu-Yu Shih has collaborated with notable colleagues, including Kuang-Yu Wang and Tsai-sheng Shen. Their combined efforts contribute to the advancement of technology in their field.

Conclusion

Yu-Yu Shih is a key figure in the realm of object detection innovations. His patent reflects a deep understanding of machine learning challenges and offers solutions that enhance model training and testing. His contributions are paving the way for future advancements in this critical area of technology.

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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