Xinyu Liu

Title: Xinyu Liu’s Patents in Machine Learning and Data Processing.

Introduction

Xinyu Liu is an inventor associated with Humana Inc. in Boston, Massachusetts. Her patent work focuses on machine-learning systems designed to make data processing, model development, and deployment more efficient.

Latest Patents

Liu’s listed patents address related approaches to organizing machine-learning workflows:

- Machine Learning Platform and Feature Generation for Efficient Data Processing. This invention describes a system that standardizes model training and deployment while reducing redundant data preparation. It reformats and de-sensitizes data for storage, then makes reusable features available to models and training modules. The system also supports model evaluation using a defined cohort and selected templates and features. Training artifacts, scripts, and settings can be stored and registered centrally for later execution.

- Machine Learning Platform and Pipeline for Efficient Data Processing. This patent describes a similar platform for coordinating model development and deployment. It provides shared, prepared features for experimentation and evaluation, and records model artifacts and configuration information in systems where they can be accessed for execution.

Career Highlights

Liu is associated with 2 patents. The inventions described here emphasize reusable data features, standardized model workflows, and centralized management of training artifacts and model settings.

Collaborations

Liu’s listed coworkers include Keegan Nesbitt and David Christopher Mack. Her work is associated with Humana Inc.

Conclusion

Xinyu Liu’s patents focus on making machine-learning development more efficient through shared data features, coordinated workflows, and centralized model management.