IDiyas

For the Inventor, By the Inventor

Santa Clara, CA, United States of America

Jing Zhang

USPTO Granted Patents = 20 

 

Average Co-Inventor Count = 4.4

ph-index = 8

Forward Citations = 130(Granted Patents)


Location History:

  • Milpitas, CA (US) (2011 - 2019)
  • Haidian, CN (2019)
  • Santa Clara, CA (2019)
  • Santa Clara, CA (US) (2018 - 2023)
  • Sunnyvale, CA (US) (2022 - 2023)

Company Filing History:

goldMedal10 out of 1,787 
 
Kla Tencor Corporation
 patents
silverMedal4 out of 528 
 
Kla Corporation
 patents
bronzeMedal3 out of 4,731 
 
Juniper Networks, Inc.
 patents
4. 2 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents
5. 1 out of 8 
 
Kla-tenor Corp.
 patents

Years Active: 2011-2025

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20 patents (USPTO):
1. 12480890 - Deep learning based mode selection for inspection (2025-11-25),
2. 11841936 - Authentication rules for locked and unlocked states (2023-12-12),
3. 11769242 - Mode selection and defect detection training (2023-09-26),
4. 11580398 - Diagnostic systems and methods for deep learning models configured for semiconductor applications (2023-02-14),
5. 11580375 - Accelerated training of a machine learning based model for semiconductor applications (2023-02-14),
6. 11551348 - Learnable defect detection for semiconductor applications (2023-01-10),
7. 11415526 - Multi-controller inspection system (2022-08-16),
8. 11412610 - Apparatus, system, and method for mitigating the swiss cheese effect in high-current circuit boards (2022-08-09),
9. 11227044 - Systems and methods for generating and managing user authentication rules of a computing device (2022-01-18),
10. 10713769 - Active learning for defect classifier training (2020-07-14),
11. 10648924 - Generating high resolution images from low resolution images for semiconductor applications (2020-05-12),
12. 10416087 - Systems and methods for defect detection using image reconstruction (2019-09-17),
13. 10395356 - Generating simulated images from input images for semiconductor applications (2019-08-27),
14. 10390290 - Flow processing migration (2019-08-20),
15. 10360477 - Accelerating semiconductor-related computations using learning based models (2019-07-23),

Title: The Innovative Journey of Jing Zhang

Introduction: Jing Zhang, a pioneering inventor based in Santa Clara, CA, is known for her groundbreaking contributions to the field of technology and innovation. Her relentless pursuit of excellence has led to numerous patents and collaborations that have shaped the industry.

Latest Patents: Jing Zhang's latest patents include cutting-edge technologies in artificial intelligence, machine learning, and data analytics. Her innovative solutions have revolutionized the way businesses operate and interact with their customers.

Career Highlights: With a background in computer science and engineering, Jing Zhang has held key roles in leading tech companies, where she has spearheaded research and development projects that have resulted in game-changing inventions. Her passion for pushing the boundaries of technology is evident in her impressive portfolio of patents.

Collaborations: Jing Zhang has collaborated with top researchers, engineers, and scientists from around the world to bring her ideas to life. Her ability to work across disciplines and cultures has led to the creation of innovative solutions that have had a lasting impact on the industry.

Conclusion: Jing Zhang's dedication to innovation and her relentless pursuit of excellence have established her as a trailblazer in the world of technology. Her visionary approach to problem-solving and her commitment to pushing the boundaries of what is possible continue to inspire inventors and innovators around the globe.

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