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For the Inventor, By the Inventor

Portland, OR, United States of America

Yonghong Huang

This inventor holds 21 USPTO granted patents and 2 published patent applications and 1 EPO patent, primarily in Malware Detection. Top assignees: Mcafee, Inc., Intel Corporation. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yonghong Huang. Retrieved from https://idiyas.com/inventor/yonghong-huang

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

Calculating rank
USPTO Granted Patents = 21 

% Patents Active = 90.5

 

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 28(Granted Patents)


Location History:

  • Hillsboro, OR (US) (2021 - 2023)
  • Portland, OR (US) (2018 - 2024)

Company Filing History:

goldMedal14 out of 1,649 
 
Mcafee, Inc.
 patents
silverMedal7 out of 56,394 
 
Intel Corporation
 patents

Years Active: 2018-2026

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Areas of Expertise:
Malware Classification
Convolutional Neural Networks
Machine Learning
Phishing Detection
Network Traffic Analysis
Federated Training
Generative Adversarial Network
Adversarial Malware
IP Reputation
GPS Spoofing
User Authentication
Cross Protocol Analysis
21 patents (USPTO):Explore Patents
1. 12769834 - Multi-dimensional malware analysis (2026-10-20),
2. 12619721 - Methods and apparatus for malware classification through convolutional neural networks using raw bytes (2026-05-05),
3. 12536282 - Methods and apparatus for machine learning based malware detection and visualization with raw bytes (2026-01-27),
4. 12483590 - Methods and apparatus to visualize machine learning based malware classification (2025-11-25),
5. 12367252 - Methods and apparatus to classify web content (2025-07-22),
6. 12306940 - Methods and apparatus to implement trusted transfer learning on transformer-based phishing detection (2025-05-20),
7. 12282555 - Multi-dimensional malware analysis (2025-04-21),
8. 12045349 - Multi-dimensional malware analysis (2024-07-23),
9. 11743276 - Methods, systems, articles of manufacture and apparatus for producing generic IP reputation through cross protocol analysis (2023-08-29),
10. 11689550 - Methods and apparatus to analyze network traffic for malicious activity (2023-06-27),
11. 11526745 - Methods and apparatus for federated training of a neural network using trusted edge devices (2022-12-13),
12. 11520888 - Multi-dimensional malware analysis (2022-12-06),
13. 11501001 - Techniques to detect perturbation attacks with an actor-critic framework (2022-11-15),
14. 11297084 - Methods and apparatus to perform malware detection using a generative adversarial network (2022-04-05),
15. 11200318 - Methods and apparatus to detect adversarial malware (2021-12-14),

Title: Yonghong Huang: Pioneering Female Inventor from Portland

Introduction: Yonghong Huang is a trailblazing female inventor based in Portland, Oregon. She has made significant contributions to the field of innovation with her groundbreaking ideas and inventions.

Latest Patents: Huang's latest patents include a revolutionary eco-friendly packaging solution that has garnered attention for its sustainability and practicality in reducing waste.

Career Highlights: With a career spanning over two decades, Huang has established herself as a prominent figure in the world of inventors. Her innovative spirit and dedication to creating impactful solutions have led to numerous successful patents and inventions.

Collaborations: Throughout her career, Huang has collaborated with various research institutions and universities to further develop her ideas and bring them to life. Her partnerships have been instrumental in pushing the boundaries of innovation.

Conclusion: Yonghong Huang's passion for innovation and commitment to making a difference through her inventions have solidified her reputation as a pioneering female inventor in Portland and beyond. Her work continues to inspire future generations of inventors to think outside the box and create positive change in the world.

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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