Company Filing History:
Years Active: 2023
Title: Innovator Spotlight: Jilei Yang and His Contributions to Predictive Modeling
Introduction: Jilei Yang, based in Sunnyvale, CA, is a pioneering inventor in the field of machine learning and predictive modeling. With a focus on enhancing model reliability through innovative techniques, Yang has made significant strides in addressing label shifts that can affect the accuracy of predictive analyses. His work not only advances technological capabilities but also opens new avenues for research and application in various domains.
Latest Patents: Jilei Yang holds a patent for "Label shift detection and adjustment in predictive modeling." This patent introduces techniques for detecting label shifts and adjusting training data in response. In this innovative approach, a first machine-learned model generates predicted labels for multiple scoring instances. When a shift in observed labels is detected, the method identifies relevant training data segments and adjusts corresponding training instances. The final set of adjusted training data is then utilized to train a second machine-learned model, enhancing overall predictive accuracy.
Career Highlights: Currently, Jilei Yang is employed with Microsoft Technology Licensing, LLC, where he contributes to the advancement of machine learning technologies. His dedication and expertise have positioned him as a valuable asset within the organization, focusing on the development of innovative solutions that optimize predictive modeling processes.
Collaborations: Throughout his career, Jilei Yang has had the pleasure of collaborating with notable colleagues such as Yu Liu and Parvez Ahammad. These partnerships have fostered a dynamic exchange of ideas and expertise, further driving innovation within their projects and the larger machine learning community.
Conclusion: Jilei Yang exemplifies the spirit of innovation and dedication in the realm of predictive modeling. With his patented techniques for label shift detection and adjustment, he not only addresses critical challenges faced by machine learning practitioners but also inspires future advancements in the field. Through his work at Microsoft Technology Licensing, LLC and his collaborations with talented peers, Yang continues to shape the landscape of technology and its applications.