Company Filing History:
Years Active: 2024-2025
Title: Ruoyi Jiang: Innovator in Machine Learning
Introduction
Ruoyi Jiang is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of machine learning. With a total of 2 patents, he has made significant strides in developing innovative methods and systems that enhance the performance of machine learning models.
Latest Patents
One of Ruoyi Jiang's latest patents focuses on contribution incrementality in machine learning models. This patent discloses methods, systems, and computer programs encoded on a computer storage medium for training and utilizing machine learning models. The methods include creating a model that represents relationships between user attributes, content exposures, and performance levels for a target action. This is achieved using organic exposure data that specifies one or more organic exposures experienced by a particular user over a specified time prior to the performance of a target action. Additionally, third-party exposure data is utilized to specify third-party exposures of a specified type of digital component to the particular user over the same time period. The model determines an incremental performance level attributable to each of the third-party exposures at the action time when the target action was performed by the user. Furthermore, transmission criteria for some digital components to which the user was exposed are modified based on the incremental performance.
Career Highlights
Ruoyi Jiang is currently employed at Google Inc., where he continues to push the boundaries of machine learning technology. His work has garnered attention for its innovative approach to understanding user interactions and improving digital content exposure.
Collaborations
Ruoyi has collaborated with notable colleagues, including Xinlong Bao and Mert Dikmen, who contribute to the dynamic environment of innovation at Google Inc.
Conclusion
Ruoyi Jiang's work in machine learning exemplifies the innovative spirit of modern technology. His patents reflect a deep understanding of user behavior and the potential for machine learning to enhance digital interactions.