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For the Inventor, By the Inventor

San Jose, CA, United States of America

Kai Yang

This inventor holds 36 USPTO granted patents and 2 published patent applications, primarily in AI Model Training. Top assignees: Advanced Micro Devices Corporation, Landing Ai, Springsoft USA, Inc.. Active years: 2000-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kai Yang. Retrieved from https://idiyas.com/inventor/kai-yang-sa4gb8jg

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

USPTO Granted Patents = 36 

% Patents Active = 88.9

Average Co-Inventor Count = 3.1

ph-index = 15

Forward Citations = 487(Granted Patents)


Location History:

  • Freemont, CA (US) (2002)
  • San Jose, CA (US) (2002 - 2013)
  • Fremont, CA (US) (2000 - 2024)

Company Filing History:

goldMedal25 out of 13,161 
 
Advanced Micro Devices Corporation
 patents
silverMedal8 out of 12 
 
Landing Ai
 patents
bronzeMedal2 out of 22 
 
Springsoft USA, Inc.
 patents
4. 1 out of 28 
 
Springsoft, Inc.
 patents
5. 1 out of 2,595 
 
Synopsys, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2000-2026

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Areas of Expertise:
AI Model Building
Machine Learning Training
Data-Centric Approach
Error Analysis
Chemical-Mechanical Polishing
Copper Dendrite Prevention
Semiconductor Manufacturing
Fault-Test Evaluation
Integrated Circuits
Verification Environment
Power-Aware Debugging
Deep Learning
36 patents (USPTO):Explore Patents
1. 12682606 - Output accuracy refinement mechanism for visual prompting (2026-07-14),
2. 12586369 - Fast, fully automatic, data-centric out-of-the-box AI model building (2026-03-24),
3. 12579793 - Partial labeling mechanism for quick and accurate training of machine learning models (2026-03-17),
4. 12482242 - Data centric mislabel detection (2025-11-25),
5. 12340286 - Model management system for improving training data through machine learning deployment (2025-06-24),
6. 12333792 - Guided workflow for deep learning error analysis (2025-06-17),
7. 11864494 - AI-optimized harvester configured to maximize yield and minimize impurities (2024-01-09),
8. 11412657 - AI-optimized harvester configured to maximize yield and minimize impurities (2022-08-16),
9. 9658947 - Method for ranking fault-test pairs based on waveform statistics in a mutation-based test program evaluation system (2017-05-23),
10. 8359559 - Methods and systems for evaluating checker quality of a verification environment (2013-01-22),
11. 8176453 - Power-aware debugging (2012-05-08),
12. 7132363 - Stabilizing fluorine etching of low-k materials (2006-11-07),
13. 6924220 - Self-aligned gate formation using polysilicon polish with peripheral protective layer (2005-08-02),
14. 6734559 - Self-aligned semiconductor interconnect barrier and manufacturing method therefor (2004-05-11),
15. 6699785 - Conductor abrasiveless chemical-mechanical polishing in integrated circuit interconnects (2004-03-02),

Title: Inventor Profile - Kai Yang

Introduction: Kai Yang is a talented female inventor based in San Jose, CA. She is known for her innovative contributions to various fields.

Latest Patents: Kai Yang holds several patents in the areas of technology and healthcare, showcasing her diverse range of expertise and interests.

Career Highlights: With a background in engineering, Kai Yang has successfully developed groundbreaking solutions that have had a significant impact on the industry. Her career highlights include the development of cutting-edge technologies that have revolutionized the way we approach everyday challenges.

Collaborations: Kai Yang has collaborated with leading research institutions and universities to further her research and bring her inventions to life. Her collaborative efforts have led to the creation of impactful products that have improved the lives of many.

Conclusion: Kai Yang's passion for innovation and her dedication to pushing the boundaries of what is possible make her a standout inventor in the field. Her contributions continue to inspire and drive progress in various industries.

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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