San Jose, CA, United States of America

Zhiliang Ma

This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhiliang Ma. Retrieved from https://idiyas.com/inventor/zhiliang-ma

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations of Zhiliang Ma in Churn Prediction

Introduction

Zhiliang Ma is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of data analytics, particularly in the area of churn prediction. His innovative work has the potential to transform how companies understand and retain their users.

Latest Patents

Zhiliang Ma holds a patent for "Systems and methods for churn prediction." This patent describes systems, methods, and non-transitory computer-readable media that can collect past user information and churn data for a plurality of users. A churn prediction model is trained using this past user information and churn data. The model calculates a churn propensity score for a present user, which indicates the likelihood of that user to churn.

Career Highlights

Zhiliang Ma is currently employed at Facebook, Inc., where he applies his expertise in data analytics to enhance user retention strategies. His work is instrumental in developing predictive models that help the company understand user behavior better.

Collaborations

Zhiliang has collaborated with notable colleagues such as Vincent Gonguet and Aude Hofleitner. Their combined efforts contribute to the advancement of innovative solutions in the tech industry.

Conclusion

Zhiliang Ma's contributions to churn prediction exemplify the impact of innovative thinking in technology. His work not only enhances user retention strategies but also showcases the importance of data-driven decision-making in modern businesses.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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