Xuebin Yan

Title: Xuebin Yan: Innovator in Machine Learning Technologies

Introduction

Xuebin Yan 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 solutions that enhance the capabilities of machine learning models.

Latest Patents

Xuebin Yan's latest patents include "Unified parameter and feature access in machine learning models" and "Two-stage training with non-randomized and randomized data." The first patent provides a system for processing data by obtaining a function call for calculating an attribute associated with a machine learning model. It identifies parameter types of arguments and retrieves features specific to those types, ultimately calculating the attribute to execute the model effectively. The second patent addresses position bias and other biases in machine learning by employing a two-phase training approach. The first phase utilizes non-randomized training data, while the second phase revises the model using randomized data to eliminate bias, ensuring the model operates in an unbiased manner.

Career Highlights

Xuebin Yan is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of machine learning technology. His work focuses on creating systems that improve the efficiency and accuracy of machine learning applications.

Collaborations

Some of Xuebin Yan's notable coworkers include Chang-Ming Tsai and Fei Chen, who collaborate with him on various projects within the realm of machine learning.

Conclusion

Xuebin Yan's innovative patents and contributions to machine learning exemplify his commitment to advancing technology in this critical field. His work not only addresses current challenges but also paves the way for future developments in machine learning applications.