Edgewater, NJ, United States of America

Yu Wan

This inventor holds 3 USPTO granted patents. Top assignee: Verizon Patent and Licensing Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yu Wan. Retrieved from https://idiyas.com/inventor/yu-wan-lfpmv01r

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


% Patents Active = 33.3

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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3 patents (USPTO):Explore Patents

Title: Innovations by Yu Wan in Event Modeling

Introduction

Yu Wan is an accomplished inventor based in Edgewater, 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

Yu Wan 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

Yu Wan is currently associated with Verizon Patent and Licensing Inc., where he continues to develop innovative solutions in the realm of data processing and event modeling. His expertise in this area has led to advancements that benefit various applications in technology.

Collaborations

Yu Wan has collaborated with notable colleagues, including Le Su and Lin Tang. Their combined efforts contribute to the innovative environment at Verizon Patent and Licensing Inc.

Conclusion

Yu Wan's contributions to event modeling through his patent demonstrate his commitment to innovation and efficiency in data processing. His work not only enhances technological capabilities but also sets a precedent for future advancements in the field.

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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