Nutley, NJ, United States of America

Lin Tang

This inventor holds 1 USPTO granted patent. Top assignee: Verizon Patent and Licensing Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lin Tang. Retrieved from https://idiyas.com/inventor/lin-tang-wp9gjn2m

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: 2025

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1 patent (USPTO):Explore Patents

Title: Lin Tang - Innovator in Event Modeling Technologies

Introduction

Lin Tang is an accomplished inventor based in Nutley, NJ (US). He has made significant contributions to the field of event modeling through his innovative patent. His work focuses on optimizing resource utilization in data processing, particularly in streaming content.

Latest Patents

Lin Tang holds a patent titled "Systems and methods for reduced resource utilization for event modeling." This patent describes a system that employs modeling techniques to identify events and trends in data sets, such as streaming video or audio content. The system performs lightweight pre-processing operations on different data sets, like object position data, to pinpoint timeframes where events may have occurred. By focusing modeling techniques on specific timeframes, the system conserves processing resources, enhancing efficiency.

Career Highlights

Lin Tang is associated with Verizon Patent and Licensing Inc., where he applies his expertise in developing innovative solutions. His work has been instrumental in advancing technologies that improve data processing and event identification.

Collaborations

Lin has collaborated with notable colleagues, including Wenyuan Lu and Yu Wan. Their combined efforts contribute to the development of cutting-edge technologies in the field.

Conclusion

Lin Tang's innovative work in event modeling showcases his commitment to enhancing data processing efficiency. His contributions are valuable to the technology landscape, particularly in the realm of streaming content analysis.

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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