Sunnyvale, CA, United States of America

Wenyu Ren


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Wenyu Ren: Innovator in Advertising Technology

Introduction

Wenyu Ren is an accomplished inventor based in Sunnyvale, California, recognized for his innovative contributions to the field of advertising technology. His work focuses on improving user engagement through advanced methodologies and techniques that integrate artificial intelligence with advertisement systems.

Latest Patents

Wenyu holds a patent for "Methods, apparatuses and computer program products for providing megataxon-based inverted index features for neural networks." This innovative online system revolutionizes how advertisements are determined for user retrieval. It systematically assigns unique category paths that are linked to a hierarchy of advertisement categories, providing detailed advertisement information features. The system adeptly assesses user engagement by analyzing prior interactions, selecting relevant features to enhance advertisements, and successfully integrating these insights into a neural network model.

Career Highlights

Currently employed by Meta Platforms, Inc., Wenyu Ren has made significant strides in developing cutting-edge technologies that enhance user experiences within the advertisement sector. His work is pivotal in understanding user interactions and transforming them into actionable advertisement strategies that yield greater engagement and effectiveness.

Collaborations

Wenyu collaborates closely with talented colleagues, including Quan Zhou and Chihoon Lee. Together, they contribute their expertise to research and innovate within the realm of digital advertising, significantly enhancing the capabilities of their systems.

Conclusion

Wenyu Ren's dedication to advancing advertising technology through his inventive spirit sets a high standard in the field. His work emphasizes the importance of understanding user engagement while combining it with neural network applications, ensuring that advertising evolves to meet the needs of users and advertisers alike.

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