Chapel Hill, NC, United States of America

Ce Zhang

This inventor holds 1 USPTO granted patent. Top assignees: Brown University, Honda Motor Ltd., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ce Zhang. Retrieved from https://idiyas.com/inventor/ce-zhang-3uyj9q58

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ce Zhang: Advancing Video Action Anticipation with Neural Language Models.

Introduction

Ce Zhang is an inventor associated with Chapel Hill, North Carolina. Her patent work explores how neural language models can help anticipate actions in videos.

Latest Patents

The provided information lists one patent for Ce Zhang: “Using Neural Language Models for Long-Term Action Anticipation from Videos.” The invention describes an electronic device that analyzes a video of objects performing a physical task and generates tags representing an observed sequence of actions. It then uses those tags to prompt a neural language model, which predicts tags for a subsequent sequence of actions. The device can display prediction information based on those predicted tags. Zhang is credited with 1 patent in the supplied data.

Career Highlights

The supplied career information associates Zhang with Honda Motor Ltd. and Brown University. Her patent illustrates an application of language models to understanding and forecasting sequences of actions in video.

Collaborations

Changcheng Fu and Shijie Wang are identified as Zhang’s coworkers in the provided information.

Conclusion

Ce Zhang’s listed patent applies neural language models to long-term action anticipation, connecting video analysis with predictions about what may happen next.

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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