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For the Inventor, By the Inventor

San Jose, CA, United States of America

Yu Long Cao

USPTO Granted Patents = 123 

Average Co-Inventor Count = 3.8

ph-index = 19

Forward Citations = 1,398(Granted Patents)

Forward Citations (Not Self Cited) = 1,186(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Cupertino, CA (US) (2002 - 2019)
  • San Jose, CA (US) (2020)
  • Union City, CA (US) (2020 - 2021)
  • Cary, NC (US) (2021)
  • Sunnyvale, CA (US) (2003 - 2023)
  • Saratoga, CA (US) (2012 - 2023)
  • Santa Clara, CA (US) (2019 - 2023)

Company Filing History:

goldMedal79 out of 4,892 
 
Asml Netherlands B.v.
 patents
silverMedal18 out of 928 
 
Baidu USA LLC
 patents
bronzeMedal9 out of 30 
 
Brion Technologies, Inc.
 patents
4. 7 out of 164,197 
 
International Business Machines Corporation
 patents
5. 3 out of 37 
 
Onetta, Inc.
 patents
6. 3 out of 641 
 
Kla-tencor Technologies Corporation
 patents
7. 1 out of 1,787 
 
Kla Tencor Corporation
 patents
8. 1 out of 11,327 
 
Oracle International Corporation
 patents
9. 1 out of 5,341 
 
Facebook, Inc.
 patents
10. 1 out of 116 
 
Baidu.com Times Technology (beijing) Co. Ltd.
 patents
11. 1 out of 54,719 
 
Microsoft Technology Licensing, LLC
 patents
where one patent can have more than one assignee

Years Active: 2002-2025

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Areas of Expertise:
Machine Learning
Autonomous Driving
Optical Proximity Correction
Photolithography
Model-Based Tuning
Trajectory Planning
Bayesian Optimization
Audio Logging
Distributed Analytics
Medical Image Segmentation
Control Systems
Scenario Generation
123 patents (USPTO):Explore Patents
1. 12399423 - Method for training machine learning model to determine optical proximity correction for mask (2025-08-26),
2. 12269507 - Distributional expert demonstrations for autonomous driving (2025-04-08),
3. 12195036 - Dynamic scenario parameters for an autonomous driving vehicle (2025-01-14),
4. 12157495 - Weighted planning trajectory profiling method for autonomous vehicle (2024-12-03),
5. 12139173 - Dynamic model evaluation package for autonomous driving vehicles (2024-11-12),
6. 12139134 - Control and planning with localization uncertainty (2024-11-12),
7. 12134402 - Planning under prediction with confidence region for an autonomous driving vehicle (2024-11-05),
8. 12116010 - Safety guaranteed control when planning with uncertainty (2024-10-15),
9. 12097887 - Open space planner profiling tool for autonomous vehicle (2024-09-24),
10. 12093632 - Machine learning based inverse optical proximity correction and process model calibration (2024-09-17),
11. 11789371 - Methods of determining scattering of radiation by structures of finite thicknesses on a patterning device (2023-10-17),
12. 11735205 - Audio logging for model training and onboard validation utilizing autonomous driving vehicle (2023-08-22),
13. 11731651 - Automatic parameter tuning framework for controllers used in autonomous driving vehicles (2023-08-22),
14. 11673584 - Bayesian Global optimization-based parameter tuning for vehicle motion controllers (2023-06-13),
15. 11663057 - Analytics framework for selection and execution of analytics in a distributed environment (2023-05-30),

Title: The Innovative Journey of Yu Long Cao

Introduction: Yu Long Cao, a visionary inventor based in San Jose, CA, has made significant contributions to the field of technology with his groundbreaking inventions and patents.

Latest Patents: Yu Long Cao holds several patents in the areas of artificial intelligence, renewable energy, and semiconductor technology, showcasing his diverse range of expertise and innovative thinking.

Career Highlights: With a background in engineering and a passion for pushing the boundaries of what is possible, Yu Long Cao has had a successful career marked by numerous achievements. His ability to blend creativity with technical knowledge has led to the development of cutting-edge solutions that have revolutionized industries.

Collaborations: Throughout his career, Yu Long Cao has collaborated with leading tech companies, research institutions, and universities to further his research and bring his inventions to life. His collaborative spirit and dedication to innovation have earned him respect in the field.

Conclusion: In conclusion, Yu Long Cao stands as a testament to the power of innovation and perseverance. His relentless pursuit of excellence and commitment to pushing the boundaries of technology make him a true pioneer in the world of inventions.

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