San Jose, CA, United States of America

Hang Hua

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hang Hua. Retrieved from https://idiyas.com/inventor/hang-hua-z0xfes0e

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Hang Hua in Vision-Language Learning

Introduction

Hang Hua is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of vision-language learning. His innovative work focuses on enhancing the interaction between images and text, which is crucial for various applications in technology.

Latest Patents

Hang Hua holds a patent titled "Detecting and Correcting Mismatches Between Images and Text Using Aspect-Based Vision-Language Learning." This patent showcases his expertise in developing methods that improve the accuracy of image and text alignment, which is essential for machine learning and artificial intelligence applications.

Career Highlights

Hang Hua is currently employed at Adobe, Inc., a leading company in digital media and creativity software. His role at Adobe allows him to work on cutting-edge technologies that influence how users interact with digital content. His innovative approach has contributed to the advancement of tools that enhance user experience.

Collaborations

Hang Hua collaborates with talented individuals such as Scott David Cohen and Jing Shi. Their combined expertise fosters a creative environment that drives innovation within their projects.

Conclusion

Hang Hua's contributions to vision-language learning through his patent and work at Adobe, Inc. highlight his role as a key innovator in the field. His efforts continue to shape the future of technology in meaningful ways.

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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