Pleasanton, CA, United States of America

Ching-Yu Hung

This inventor holds 21 USPTO granted patents and 13 published patent applications, primarily in System On Chip. Top assignee: Nvidia Corporation. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ching-Yu Hung. Retrieved from https://idiyas.com/inventor/ching-yu-hung-6f4i49sp

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

USPTO Granted Patents = 21 

% Patents Active = 71.4

Average Co-Inventor Count = 5.1

ph-index = 3

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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Areas of Expertise:
Feature Tracking
Data Processing
Direct Memory Access
Parallelized Architecture
Decoupled Accelerators
Performance Optimization
Hardware Sequencer
Anomaly Detection
Memory Bank Caches
Programmable Vision Accelerator
Table Lookups
2D Arrays
21 patents (USPTO):Explore Patents

Title: The Innovative Journey of Ching-Yu Hung

Introduction: Ching-Yu Hung, a pioneering inventor based in Pleasanton, CA, has made significant contributions to the field of technology with her groundbreaking innovations.

Latest Patents: Ching-Yu Hung's latest patents focus on advancements in artificial intelligence and sustainable energy solutions, showcasing her commitment to creating a more efficient and eco-friendly future.

Career Highlights: With a career spanning over two decades, Ching-Yu Hung has held key roles in various tech companies, leading research and development teams to bring cutting-edge products to the market.

Collaborations: Throughout her career, Ching-Yu Hung has collaborated with top researchers, engineers, and designers, fostering a culture of innovation and excellence in all her projects.

Conclusion: Ching-Yu Hung's passion for innovation and her relentless drive to push the boundaries of technology make her a true trailblazer in the world of inventions.

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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