Redmond, WA, United States of America

Wei Chen

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Wei Chen in Machine Learning

Introduction

Wei Chen is an accomplished inventor based in Redmond, WA, known for his contributions to the field of machine learning. He has developed innovative solutions that enhance the efficiency of training machine learning models. His work is particularly significant in the context of asynchronous training, which addresses delays and improves the overall performance of machine learning systems.

Latest Patents

Wei Chen holds a patent for "Asynchronous training of machine learning model." This patent encompasses various implementations related to the asynchronous training of a machine learning model. In this invention, a server receives feedback data generated by training the machine learning model from a worker. The feedback data are obtained by the worker using its own training data and are associated with previous values of a set of parameters of the machine learning model at the worker. The server determines differences between the previous values and current values of the set of parameters at the server. The current value may have been updated once or more due to the operation of other workers. Consequently, the server can update the current values of the set of parameters based on the feedback data and the differences between values of the set of parameters. This updating process takes into account not only the training results of each worker but also compensates for delays between different workers.

Career Highlights

Wei Chen is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the field of machine learning. His work has garnered attention for its practical applications and potential to improve machine learning processes across various industries.

Collaborations

Wei Chen has collaborated with notable colleagues, including Taifeng Wang and Tie-Yan Liu. These partnerships have contributed to the advancement of machine learning technologies and have fostered a collaborative environment for innovation.

Conclusion

Wei Chen's contributions to machine learning, particularly through his patent on asynchronous training, highlight his role as a significant inventor in the tech industry. His work not only enhances the efficiency of machine learning models but also sets a foundation for future innovations in the field.

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