Austin, TX, United States of America

Yao Cui Fehlis

This inventor holds 1 USPTO granted patent and 6 published patent applications. Top assignee: Advanced Micro Devices Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yao Cui Fehlis. Retrieved from https://idiyas.com/inventor/yao-cui-fehlis

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yao Cui Fehlis and Hardware-Accelerated Neural Networks.

Introduction

Yao Cui Fehlis is an inventor based in Austin, Texas, whose patent work concerns hardware acceleration for artificial intelligence. He is associated with Advanced Micro Devices Corporation and is credited with 1 patent.

Latest Patents

His patent, “Devices, Systems, and Methods for Accelerating Siamese Neural Networks,” describes a hardware-accelerated device with two convolutional neural network circuits. Each circuit applies the same weight to a different input at the same point in an operation. A classifier circuit then generates a score representing how similar the two inputs are.

Career Highlights

Fehlis’s patent highlights an approach to implementing Siamese neural networks in specialized hardware. By processing paired inputs with shared weights and producing a similarity score, the design supports neural-network tasks that compare two inputs.

Collaborations

Fehlis’s listed coworker is Sergey Blagodurov. His work is associated with Advanced Micro Devices Corporation.

Conclusion

Yao Cui Fehlis’s patent reflects an effort to accelerate neural-network comparisons through dedicated hardware, combining paired CNN processing with a classifier that measures similarity.

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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