Los Altos, CA, United States of America

Ruofei Yu


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Ruofei Yu: Innovator in Machine Learning Benchmarking

Introduction

Ruofei Yu is a prominent inventor based in Los Altos, California. He has made significant contributions to the field of machine learning, particularly in the area of benchmarking models. His innovative approach has the potential to enhance the performance and reliability of machine learning algorithms.

Latest Patents

Ruofei Yu holds a patent titled "Benchmarking machine learning models via performance feedback." This patent describes techniques for benchmarking a machine learning model or algorithm. The method includes generating an execution plan for benchmarking tasks corresponding to a machine learning model, based on identified training data and objectives. It also involves receiving execution statistics about the task's performance and updating the execution plan based on these statistics. This innovative approach aims to improve the efficiency and accuracy of machine learning benchmarking.

Career Highlights

Ruofei Yu is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning. His work focuses on developing advanced techniques that can significantly impact the efficiency of machine learning processes. With a patent portfolio that includes 1 patent, he continues to push the boundaries of innovation in this rapidly evolving field.

Collaborations

Ruofei has collaborated with notable colleagues such as Sandeep Krishnamurthy and Jiajie Chen. These collaborations have fostered an environment of innovation and creativity, leading to advancements in machine learning technologies.

Conclusion

Ruofei Yu is a key figure in the realm of machine learning, with a focus on benchmarking techniques that enhance model performance. His contributions are paving the way for future innovations in the field.

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