Yen-Jung Chang

Title: Yen-Jung Chang: Innovator in Machine Learning Optimization

Introduction

Yen-Jung Chang is a notable inventor based in Santa Clara, CA, who has made significant contributions to the field of machine learning. With a focus on optimizing resource usage in machine learning models, her work aims to enhance efficiency and performance in various applications.

Latest Patents

Yen-Jung Chang holds a patent for a "Feature removal framework to streamline machine learning." This innovative system determines the resource overhead for a baseline version of a machine learning model that utilizes a set of features to produce entity rankings. The system identifies features that can be removed to lower the resource overhead to a target level. It calculates importance scores for each feature, allowing the identification of a subset of features with the lowest scores to be removed. The simplified model is then trained using the remaining features, ultimately producing new entity rankings.

Career Highlights

Yen-Jung Chang is currently employed at Microsoft Technology Licensing, LLC, where she continues to develop her expertise in machine learning technologies. Her work has been instrumental in advancing the efficiency of machine learning systems, making them more accessible and effective for various applications.

Collaborations

Yen-Jung has collaborated with talented colleagues, including Yunsong Meng and Tie Wang, who contribute to her innovative projects and research endeavors.

Conclusion

Yen-Jung Chang's contributions to machine learning optimization through her patented framework exemplify her commitment to innovation in technology. Her work not only enhances the efficiency of machine learning models but also paves the way for future advancements in the field.