Taichung, Taiwan

Weihao Zeng

This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Weihao Zeng. Retrieved from https://idiyas.com/inventor/weihao-zeng

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Weihao Zeng in Computer Vision

Introduction

Weihao Zeng is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of computer vision, particularly through his innovative patent. His work focuses on enhancing machine learning tasks using advanced computer vision models.

Latest Patents

Weihao Zeng holds a patent for "Computer vision models using global and local information." This system includes a computer vision model designed to perform machine learning tasks. The model features multiple wrapped convolutional layers, where each layer processes inputs to generate outputs for various time steps. Additionally, it incorporates a note-taking module that creates feature vectors representing local information. A summarization module further processes these feature vectors to produce a revision vector that encapsulates global information across the layers. This innovative approach enhances the efficiency and accuracy of machine learning applications.

Career Highlights

Weihao Zeng is currently employed at Google Inc., where he continues to develop cutting-edge technologies in computer vision. His expertise and innovative mindset have positioned him as a valuable asset in the tech industry.

Collaborations

One of his notable collaborators is Ruofei Du, with whom he has worked on various projects related to computer vision and machine learning.

Conclusion

Weihao Zeng's contributions to computer vision through his patent demonstrate his commitment to advancing technology in this field. His work not only showcases his innovative spirit but also has the potential to impact various applications in machine learning.

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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