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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Yuanqing Lin

This inventor holds 16 USPTO granted patents and 3 published patent applications and 1 EPO patent, primarily in Image Classification. Top assignees: Nec Laboratories America, Inc., Nec Corporation. Active years: 2014-2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuanqing Lin. Retrieved from https://idiyas.com/inventor/yuanqing-lin

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

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 75.0

 

Average Co-Inventor Count = 3.2

ph-index = 6

Forward Citations = 119(Granted Patents)


Location History:

  • Cupertino, CA (US) (2014)
  • Sunnyvale, CA (US) (2014 - 2018)

Company Filing History:

goldMedal11 out of 718 
 
Nec Laboratories America, Inc.
 patents
silverMedal5 out of 36,790 
 
Nec Corporation
 patents

Years Active: 2014-2018

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Areas of Expertise:
Image Classification
Object Detection
3D Reconstruction
Fine-Grained Recognition
Semantic Segmentation
Distance Metric Learning
Visual Categorization
Convolutional Neural Networks
Image Retrieval
Regionlets
Moving Object Localization
Spatial Layout
16 patents (USPTO):Explore Patents
1. 10074041 - Fine-grained image classification by exploring bipartite-graph labels (2018-09-11),
2. 9965719 - Subcategory-aware convolutional neural networks for object detection (2018-05-08),
3. 9665802 - Object-centric fine-grained image classification (2017-05-30),
4. 9489768 - Semantic dense 3D reconstruction (2016-11-08),
5. 9471847 - Efficient distance metric learning for fine-grained visual categorization (2016-10-18),
6. 9235904 - Object detection with Regionlets re-localization (2016-01-12),
7. 9202144 - Regionlets with shift invariant neural patterns for object detection (2015-12-01),
8. 9070202 - Moving object localization in 3D using a single camera (2015-06-30),
9. 9042601 - Selective max-pooling for object detection (2015-05-26),
10. 9020248 - Window dependent feature regions and strict spatial layout for object detection (2015-04-28),
11. 9020198 - Dimension-wise spatial layout importance selection: an alternative way to handle object deformation (2015-04-28),
12. 8891908 - Semantic-aware co-indexing for near-duplicate image retrieval (2014-11-18),
13. 8879855 - Image segmentation for large-scale fine-grained recognition (2014-11-04),
14. 8787682 - Fast image classification by vocabulary tree based image retrieval (2014-07-22),
15. 8761510 - Object-centric spatial pooling for image classification (2014-06-24),

Title: The Innovative Journey of Yuanqing Lin

Introduction: Yuanqing Lin, a pioneering inventor based in Sunnyvale, CA, is a trailblazing woman making significant strides in the world of technology and innovation.

Latest Patents: Yuanqing Lin's latest patents focus on cutting-edge advancements in artificial intelligence, machine learning, and sustainable energy solutions. Her innovative ideas have been recognized for their potential to revolutionize various industries.

Career Highlights: With a background in computer science and engineering, Yuanqing Lin has held key roles in leading tech companies, where she has spearheaded groundbreaking projects and contributed to the development of state-of-the-art technologies. Her passion for innovation and problem-solving has driven her to create solutions that push the boundaries of what is possible.

Collaborations: Yuanqing Lin has collaborated with top researchers, engineers, and scientists from around the globe to bring her ideas to life. Through these collaborations, she has been able to leverage diverse perspectives and expertise to enhance the impact of her inventions.

Conclusion: Yuanqing Lin's dedication to innovation, coupled with her relentless drive to make a difference, sets her apart as a visionary inventor shaping the future of technology. Her remarkable achievements continue to inspire aspiring inventors and pave the way for a more innovative tomorrow.

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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