San Jose, CA, United States of America

Hong Yu

This inventor holds 8 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignees: Palo Alto Research Center Inc., Princeton University. Active years: 1993-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hong Yu. Retrieved from https://idiyas.com/inventor/hong-yu-s1kx4c3l

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

Calculating rank
USPTO Granted Patents = 8 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 58(Granted Patents)


Location History:

  • San Jose, CA (US) (1993 - 2022)
  • Fremont, CA (US) (2021 - 2023)

Company Filing History:


Years Active: 1993-2023

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8 patents (USPTO):Explore Patents

Title: Inventor Hong Yu: Revolutionizing Technology in San Jose

Introduction: Hong Yu is a visionary inventor based in San Jose, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Hong Yu holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights: With a career spanning over two decades, Hong Yu has worked with leading tech companies in Silicon Valley, where he has spearheaded numerous projects that have had a significant impact on the industry.

Collaborations: Throughout his career, Hong Yu has collaborated with top researchers, engineers, and developers to bring cutting-edge technologies to life, fostering a culture of innovation and excellence.

Conclusion: Hong Yu's relentless pursuit of innovation and his passion for creating transformative technologies continue to inspire the next generation of inventors and shape the future of the tech industry.

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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