This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Groupon, Inc.. Active years: 2021-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021-2023
Title: Xiaohan Zeng: Innovator in Machine Learning Model Lifecycle Management
Introduction
Xiaohan Zeng is a prominent inventor based in Chicago, IL (US), known for his contributions to the field of machine learning. With a focus on enhancing the lifecycle management of machine learning models, Zeng has secured 2 patents that showcase his innovative approach to computing systems and methods.
Latest Patents
Zeng's latest patents include a method, apparatus, and computer program product for machine learning model lifecycle management. This invention involves a comprehensive computing method that begins with receiving inputs related to machine learning model selection and experiment creation. The method determines the appropriate execution engine based on the experiment type and retrieves input data accordingly. It culminates in executing the machine learning model experiment and generating scores based on the results.
Career Highlights
Xiaohan Zeng is currently employed at Groupon, Inc., where he applies his expertise in machine learning to drive innovation within the company. His work focuses on developing systems that streamline the management of machine learning models, making significant contributions to the field.
Collaborations
Zeng collaborates with talented individuals such as Bahador Nooraei Beidokht and Jae Young Chung, enhancing the innovative environment at Groupon, Inc. Their teamwork fosters creativity and drives advancements in machine learning technologies.
Conclusion
Xiaohan Zeng's work in machine learning model lifecycle management exemplifies the impact of innovation in technology. His patents and career at Groupon, Inc. highlight his commitment to advancing the field and improving computational methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
