Beijing, China

Shengliang Guan

This inventor holds 3 USPTO granted patents and 1 EPO patent. Top assignee: Taos Data. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shengliang Guan. Retrieved from https://idiyas.com/inventor/shengliang-guan

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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3 patents (USPTO):Explore Patents

Title: Innovations of Shengliang Guan

Introduction

Shengliang Guan is a notable inventor based in Beijing, China. He has made significant contributions to the field of data storage and processing, particularly in time-series data management. With a total of three patents to his name, Guan's work focuses on enhancing efficiency and optimizing data handling.

Latest Patents

One of his latest patents is titled "Efficient storage method for time series data." This invention discloses a method for storing time-series data collected by various data samplers and their corresponding static attribute data separately. The approach allows for improved storage space utilization, enhanced processing efficiency, and flexible query processing. Another significant patent is the "Method for aggregation optimization of time series data," which outlines an optimized processing method for time-series data, further contributing to the field.

Career Highlights

Shengliang Guan is currently employed at Taos Data, where he continues to innovate and develop new solutions for data management challenges. His work has garnered attention for its practical applications in various industries.

Collaborations

Guan has collaborated with notable colleagues, including Hongze Cheng and Haojun Liao, contributing to a dynamic and innovative work environment.

Conclusion

Shengliang Guan's contributions to the field of data storage and processing are noteworthy. His innovative patents reflect a commitment to improving efficiency in handling time-series data.

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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