Yanbin Jiang

Title: Innovations of Yanbin Jiang in Machine Learning

Introduction

Yanbin Jiang is a notable inventor based in Sunnyvale, California. He has made significant contributions to the field of machine learning, holding two patents that enhance the efficiency and performance of machine learning models. His work is primarily associated with Microsoft Technology Licensing, LLC.

Latest Patents

Yanbin Jiang's latest patents include a "Feature removal framework to streamline machine learning" and "Machine learning model monitoring." The feature removal framework provides a system for streamlining machine learning by determining resource overhead for a baseline version of a model and identifying features to be removed to lower this overhead. The system calculates importance scores for features and trains a simplified version of the model using a subset of features that excludes those with the lowest importance scores. The machine learning model monitoring patent involves technologies for monitoring the performance of a model by detecting anomalies in digital time series data and modifying the model based on these anomalies.

Career Highlights

Throughout his career, Yanbin Jiang has focused on improving machine learning technologies. His innovative approaches have led to advancements that benefit various applications in the tech industry. His work at Microsoft Technology Licensing, LLC has positioned him as a key player in the development of machine learning solutions.

Collaborations

Yanbin Jiang has collaborated with talented individuals such as Yang Yang and Boyi Chen. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies in machine learning.

Conclusion

Yanbin Jiang's contributions to machine learning through his patents and collaborations highlight his role as an influential inventor in the tech industry. His work continues to shape the future of machine learning technologies.