IDiyas

For the Inventor, By the Inventor

Beijing, China

Yubo Li

USPTO Granted Patents = 20 

Average Co-Inventor Count = 4.6

ph-index = 4

Forward Citations = 94(Granted Patents)


Company Filing History:

goldMedal20 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2016-2023

where 'Filed Patents' based on already Granted Patents

20 patents (USPTO):
1. 11762751 - System-level tunable parameter identification (2023-09-19),
2. 11741377 - Target system optimization with domain knowledge (2023-08-29),
3. 11710027 - Artificial intelligence workflow builder (2023-07-25),
4. 11295211 - Multi-scale object detection with a trained neural network (2022-04-05),
5. 11200671 - Reference image guided object detection in medical image processing (2021-12-14),
6. 11182906 - Stream object tracking with delayed object detection (2021-11-23),
7. 11164078 - Model matching and learning rate selection for fine tuning (2021-11-02),
8. 11022669 - Beacon array (2021-06-01),
9. 10936385 - Running kernel dependent applications inside a container (2021-03-02),
10. 10936331 - Running a kernel-dependent application in a container (2021-03-02),
11. 10923158 - Dynamic sequential image processing (2021-02-16),
12. 10901749 - Running a kernel-dependent application in a container (2021-01-26),
13. 10884816 - Managing system resources in containers and virtual machines in a coexisting environment (2021-01-05),
14. 10386446 - Beacon array (2019-08-20),
15. 10386445 - Beacon array (2019-08-20),

Title: Yubo Li: Pioneering Technological Advancements in Beijing

Introduction:

Yubo Li, a visionary inventor based in Beijing, CN, is renowned for his tireless dedication to innovation and his unwavering commitment to advancing technology. With an impressive portfolio of 20 patents, Yubo Li continues to inspire the next generation of inventors and shape the future of technology with his groundbreaking work.

Latest Patents:

1. System-level tunable parameter identification: Yubo Li's innovative approach involves a computer-implemented method for identifying system-level tunable parameters based on performance characteristic data and correlation coefficients. This method enhances the efficiency and effectiveness of tuning applications, revolutionizing the way systems are optimized.

2. Target system optimization with domain knowledge: Yubo Li's cutting-edge method focuses on optimizing target systems by incorporating domain knowledge requirements. By generating effective performance metrics and configuring target systems based on real performance metrics, this approach significantly improves system performance and functionality.

Career Highlights:

Yubo Li is a valuable member of the International Business Machines Corporation, commonly known as IBM, where he continues to push the boundaries of technology and drive innovation forward. His contributions to the field have led to significant advancements in system optimization, performance tuning, and domain-specific knowledge integration.

Collaborations:

Yubo Li has collaborated with esteemed colleagues such as Qing Fa Wang and Chao Xue, who have played a crucial role in his success. Together, they have worked on various projects that have revolutionized the technological landscape and set new standards for innovation in the industry.

Conclusion:

Yubo Li's relentless pursuit of excellence, coupled with his passion for innovation, has established him as a leading figure in the world of technology. His groundbreaking patents and innovative approaches continue to inspire inventors worldwide and shape the future of technology. Yubo Li's dedication to advancing the field of technology serves as a testament to his unwavering commitment to driving progress and shaping a better future for generations to come.

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