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For the Inventor, By the Inventor

Beijing, China

Linjun Yang

This inventor holds 26 USPTO granted patents and 6 published patent applications, primarily in Visual Search Technologies. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2012-2022.

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

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

USPTO Granted Patents = 26 

% Patents Active = 53.8

Average Co-Inventor Count = 3.6

ph-index = 8

Forward Citations = 172(Granted Patents)


Location History:

  • Beijing, CN (2012 - 2020)
  • Sammamish, WA (US) (2020 - 2022)

Company Filing History:

goldMedal26 out of 56,259 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2012-2022

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Areas of Expertise:
Image Annotation
Visual Search
Video Retrieval
Adaptive Database
Media Tag Recommendation
Content-Aware Ranking
Colorblind Accessibility
Hierarchical Representation
Object Retrieval
Supervised Re-Ranking
Human Computation
In-Text Advertising
26 patents (USPTO):Explore Patents
1. 11372914 - Image annotation (2022-06-28),
2. 11074289 - Multi-modal visual search pipeline for web scale images (2021-07-27),
3. 10664515 - Task-focused search by image (2020-05-26),
4. 10592769 - Searching for images by video (2020-03-17),
5. 9443011 - Searching for images by video (2016-09-13),
6. 9424516 - Comprehensive human computation framework (2016-08-23),
7. 9317533 - Adaptive image retrieval database (2016-04-19),
8. 9092520 - Near-duplicate video retrieval (2015-07-28),
9. 8903166 - Content-aware ranking for visual search (2014-12-02),
10. 8875007 - Creating and modifying an image wiki page (2014-10-28),
11. 8706674 - Media tag recommendation technologies (2014-04-22),
12. 8654255 - Advertisement insertion points detection for online video advertising (2014-02-18),
13. 8560517 - Object retrieval using visual query context (2013-10-15),
14. 8543521 - Supervised re-ranking for visual search (2013-09-24),
15. 8542324 - Efficient image and video recoloring for colorblindness (2013-09-24),

Title: Linjun Yang: A Pioneer in Image Annotation and Visual Search Technologies

Introduction: Linjun Yang, a visionary inventor based in Beijing, China, has made significant contributions to the field of technology through his groundbreaking innovations. With 26 patents to his name, Linjun Yang stands as a beacon of creativity and ingenuity in the world of inventors.

Latest Patents:

1. Image Annotation: Linjun Yang's innovative approach to image annotation involves a diversified hybrid method that combines retrieval-based and model-based techniques to generate comprehensive annotations for query images.

2. Multi-modal Visual Search Pipeline: His patent showcases a sophisticated system for conducting image searches using visual words extracted from query images, enabling multi-level ranking and precise results for users.

Career Highlights: Linjun Yang has worked with esteemed companies such as Microsoft Corporation and Microsoft Technology Licensing, LLC, where he honed his skills and expertise in the tech industry. His experience and knowledge have played a pivotal role in his success as an inventor.

Collaborations: Linjun Yang has collaborated with talented individuals in his field, including Xian-Sheng Hua and Shipeng Li, who have been instrumental in bringing his innovative ideas to life. Their teamwork and dedication have led to the development of cutting-edge technologies.

Conclusion: Linjun Yang's exceptional talent and forward-thinking approach have cemented his reputation as a trailblazer in the realm of image annotation and visual search technologies. His inventive spirit continues to drive advancements in the tech industry, leaving a lasting impact on the landscape of innovation.

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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