Jiuling Wang

Title: The Innovations of Jiuling Wang

Introduction

Jiuling Wang is an accomplished inventor based in Union City, CA. He has made significant contributions to the field of machine learning and optimization, holding a total of 2 patents. His work focuses on enhancing personalized communications and improving recommendation systems.

Latest Patents

One of Jiuling Wang's latest patents is titled "Integrated GLMix and non-linear optimization architectures." This invention utilizes a machine learned model that integrates a generalized linear mixed model (GLMix) with non-linear optimization. The model is designed to perform personalized communications targeting and volume control, maximizing user engagement with notifications. It aims to increase not only the total number of views but also the specific end goals, such as job applications associated with job listings.

Another notable patent is the "Debugging tool for recommendation systems." This invention provides a debugging tool that includes logging functionality, allowing administrators to replay machine learned recommendation model executions. This feature helps identify points of error without the scaling difficulties of logging all features used in every recommendation.

Career Highlights

Jiuling Wang is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work at Microsoft has positioned him as a key player in the advancement of machine learning applications.

Collaborations

Throughout his career, Jiuling has collaborated with talented individuals such as Samaneh Abbasi Moghaddam and Chih Cheng Paul Yuan. These collaborations have further enriched his work and contributed to the success of his projects.

Conclusion

Jiuling Wang's contributions to machine learning and optimization are noteworthy, with his patents reflecting his innovative spirit. His work at Microsoft and collaborations with other professionals highlight his commitment to advancing technology.