Pittsburgh, PA, United States of America

Chenyan Xiong

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Carnegie Mellon University, Georgetown University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chenyan Xiong. Retrieved from https://idiyas.com/inventor/chenyan-xiong-ynd3zp9k

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Chenyan Xiong in Data Prediction Technologies

Introduction

Chenyan Xiong is an accomplished inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of data prediction technologies. His innovative work focuses on generating high-fidelity predictions of changes to coded data records.

Latest Patents

Chenyan Xiong holds a patent for a system and process that monitors data records and predicts changes to coded values within those records. The patent, titled "Generating high-fidelity predictions of changes to coded data records," addresses the prediction and prevention of anomalies in data records. By forecasting values of entries to be added, the system enables a proactive response to potential anomalies, thereby preventing them from occurring.

Career Highlights

Throughout his career, Chenyan Xiong has worked with prestigious institutions such as Carnegie Mellon University and Georgetown University. His experience in these academic environments has allowed him to develop and refine his innovative ideas in data prediction.

Collaborations

Chenyan has collaborated with notable colleagues, including Liwen Sun and Hao-Ren Yao. Their joint efforts have contributed to advancements in the field of data analysis and anomaly detection.

Conclusion

Chenyan Xiong's work in generating high-fidelity predictions of changes to coded data records showcases his innovative spirit and dedication to improving data management systems. His contributions are paving the way for more reliable and efficient data handling practices.

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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