IDiyas

For the Inventor, By the Inventor

Shanghai, China

Guo Qiang Hu

USPTO Granted Patents = 41 

Average Co-Inventor Count = 5.1

ph-index = 4

Forward Citations = 41(Granted Patents)


Location History:

  • Beijing, CN (2021)
  • Shanghai, CN (2015 - 2023)

Company Filing History:

goldMedal41 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2015-2025

where 'Filed Patents' based on already Granted Patents

41 patents (USPTO):
1. 12272046 - Feature detection based on neural networks (2025-04-08),
2. 11842472 - Object defect correction (2023-12-12),
3. 11756185 - Product defect detection (2023-09-12),
4. 11630444 - Artificial Intelligence empowered industrial Internet of Things (2023-04-18),
5. 11574438 - Generating three-dimensional virtual scene (2023-02-07),
6. 11443226 - Training a machine learning model in a distributed privacy-preserving environment (2022-09-13),
7. 11354793 - Object detection with missing annotations in visual inspection (2022-06-07),
8. 11341370 - Classifying images in overlapping groups of images using convolutional neural networks (2022-05-24),
9. 11295439 - Image recovery (2022-04-05),
10. 11205260 - Generating synthetic defect images for new feature combinations (2021-12-21),
11. 11164306 - Visualization of inspection results (2021-11-02),
12. 11158042 - Object defect detection (2021-10-26),
13. 11144578 - High performance and efficient multi-scale trajectory retrieval (2021-10-12),
14. 11069130 - Generating three-dimensional virtual scene (2021-07-20),
15. 11030738 - Image defect identification (2021-06-08),

Title: Innovations by Guo Qiang Hu: A Look into His Patents and Contributions

Introduction: Guo Qiang Hu, a prominent inventor based in Shanghai, China, has made remarkable contributions to the field of image processing and product defect detection. With an impressive portfolio of 40 patents, Hu continues to push the boundaries of technology through innovative solutions.

Latest Patents: Among his latest inventions, Hu has developed methods for object defect correction. In one of his patents, a computing device processes an image of a first object that presents a defect. The device utilizes defect distribution information from various training images to determine the target category of the defect and generate correction notifications. Additionally, Hu has contributed to product defect detection by implementing a computer-implemented method that transforms a template image of a normal product. This method generates geometric training parameters, aligning the template with the image under inspection, thus facilitating accurate identification of defects.

Career Highlights: Guo Qiang Hu is currently associated with International Business Machines Corporation (IBM), a leading technology company. His work at IBM has been pivotal in advancing image processing technologies, contributing to innovation within the organization and the industry at large.

Collaborations: Throughout his career, Hu has collaborated with notable colleagues such as Jian Ding and Peng Ji. These partnerships have fostered a creative environment conducive to the development of new technologies and solutions in the field of defect detection and image processing.

Conclusion: Guo Qiang Hu's dedication to innovation is evident through his patents and collaborative work within IBM. By focusing on object defect correction and product defect detection, he plays a significant role in enhancing technology that benefits various industries. His contributions continue to pave the way for future advancements in image processing and defect identification.

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