Cheng Jiang

Title: Innovations of Cheng Jiang

Introduction

Cheng Jiang is an accomplished inventor based in Plano, TX (US). He has made significant contributions to the field of machine learning, holding a total of 2 patents. His work focuses on developing systems and methods that enhance the understanding of variable importance in non-parametric models.

Latest Patents

Cheng Jiang's latest patents include innovative systems and methods for determining the relative importance of one or more variables in a non-parametric machine learning model. These methods involve receiving raw values of the variables corresponding to one or more entities and processing these values using a statistical model to obtain probability values and overall prediction values for each entity. The process includes determining cumulative distributions for the variables, grouping them into equally sized buckets, and assigning rank numbers based on mean probability values. This comprehensive approach allows for a clearer understanding of the relative importance of variables for the entities involved.

Career Highlights

Cheng Jiang is currently employed at Capital One Services, LLC, where he applies his expertise in machine learning and statistical modeling. His innovative work has positioned him as a valuable asset in the field, contributing to advancements in data analysis and predictive modeling.

Collaborations

Cheng has collaborated with notable colleagues such as Ruoyo Shao and Kurt Wolf, further enhancing the impact of his work through teamwork and shared expertise.

Conclusion

Cheng Jiang's contributions to machine learning through his patents and career at Capital One Services, LLC highlight his role as a leading inventor in the field. His innovative approaches continue to shape the understanding of variable importance in complex models.