Liang Yu

Title: Liang Yu: Inventor in Machine-Learning-Based User Segmentation.

Introduction

Liang Yu is an inventor based in Seattle, Washington, and is associated with Qualtrics, LLC. His patent work concerns applying machine learning to digital-survey data to identify user groups connected to particular outcomes.

Latest Patents

Yu is named on 1 patent: “Machine-learning models for generating emerging user segments based on attributes of digital-survey respondents and target outcomes.” The invention describes systems and methods that use a specially trained machine-learning model to identify an emerging user segment from survey respondents’ attributes and a target outcome. By analyzing respondents who match that outcome, the system can predict other users who may share similar characteristics or may be at risk of experiencing the same outcome, even if they did not complete the survey.

Career Highlights

Yu’s listed patent reflects work at the intersection of machine learning, survey analytics, and user segmentation. The disclosed approach aims to extend insights from survey respondents to a broader population of users.

Collaborations

Yu’s listed coworkers include Sharath Kodi Udupa and Ben Alton. The patent’s focus on survey data and predictive modeling illustrates the collaborative, applied-technology context of his work at Qualtrics, LLC.

Conclusion

Liang Yu’s patent highlights a machine-learning approach for using digital-survey responses and respondent attributes to identify emerging user segments and predict relevant outcomes among a wider group of users.