Xinruo Jing

Title: Innovations of Inventor Xinruo Jing

Introduction

Xinruo Jing is a notable inventor based in Foster City, CA (US). He has made significant contributions to technology, holding a total of 3 patents. His work primarily focuses on advancements in data processing and content delivery systems.

Latest Patents

One of his latest patents is titled "Decentralized cross-node learning for audience propensity prediction." This invention involves receiving a first-party trained model and a first-party data set into a protected environment. It also includes receiving a first third-party data set and joining these data sets to create a joint data set for a specific segment. The process tunes a first-party trained model with the joint data set to create a third-party tuned model, which is then applied to produce a scored third-party data set for content distribution services.

Another significant patent is "Race condition avoidance in a multi-database environment." This patent provides techniques for avoiding race conditions in a content delivery system. It identifies multiple content delivery campaigns affected by remappings and ensures that updated targeting data is stored in association with the content delivery campaign.

Career Highlights

Xinruo Jing is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to explore innovative solutions in the field of data management and content delivery.

Collaborations

He collaborates with talented individuals such as Bita Gorjiara and Luke Kopakowski, contributing to a dynamic work environment that fosters innovation.

Conclusion

Xinruo Jing's contributions to technology through his patents demonstrate his expertise and commitment to advancing the field. His work continues to influence the way data is processed and utilized in various applications.