Jilei Yang

Title: Innovations of Jilei Yang: A Pioneer in Machine Learning Predictive Models

Introduction

Jilei Yang is an accomplished inventor based in Ningbo, China. With a strong focus on advancements in machine learning, he holds a patent that showcases his innovative approach to predictive modeling. His contributions are significant in enhancing the accuracy and efficiency of machine learning processes.

Latest Patents

Jilei Yang is credited with a patent titled "Feature contributors and influencers in machine learned predictive models." This invention involves generating pseudo-samples through localized stratified sampling for each feature of target sample data. These pseudo-samples are utilized in a trained machine learning model to derive prediction values. Furthermore, a piecewise linear regression model is created, allowing for detailed analysis of how specific feature values affect predictions. This model identifies both positive and negative feature influencers, contributing to a more comprehensive understanding of machine learning dynamics.

Career Highlights

Jilei currently works at Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning and predictive analytics. His role involves the continuous development of models that enhance the capabilities of machine learning technology. His patent not only reflects his innovative spirit but also highlights his commitment to advancing the field.

Collaborations

Throughout his career, Jilei Yang has collaborated with colleagues such as Wei Di and Nidhi Sehgal, fostering a creative environment that promotes the exploration of new ideas and technologies. These collaborations have played an integral role in the successful development of his patent and other innovative projects within the company.

Conclusion

Jilei Yang stands out as a key innovator in the realm of machine learning. His patent underscores his contributions to predictive modeling and demonstrates the importance of understanding feature influencers within data sets. As he continues to work at Microsoft Technology Licensing, his work is sure to inspire future advancements in technology and innovation.