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For the Inventor, By the Inventor

Cupertino, CA, United States of America

Shinko Yuanhsien Cheng

This inventor holds 25 USPTO granted patents and 2 EPO patents, primarily in Machine Learning Vision. Top assignees: Hrl Laboratories, LLC, Google Inc., The Boeing Company. Active years: 2013-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shinko Yuanhsien Cheng. Retrieved from https://idiyas.com/inventor/shinko-yuanhsien-cheng

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

Calculating rank
USPTO Granted Patents = 25

% Patents Active = 60.0


Average Co-Inventor Count = 5.8

ph-index = 8

Forward Citations = 444(Granted Patents)


Location History:

  • West Hills, CA (US) (2013)
  • Campbell, CA (US) (2014 - 2016)
  • Cupertino, CA (US) (2015 - 2020)
  • Cuperino, CA (US) (2021 - 2023)
  • Mountain View, CA (US) (2024)

Company Filing History:

goldMedal16 out of 2,108 
 
Hrl Laboratories, LLC
 patents
silverMedal7 out of 34,018 
 
Google Inc.
 patents
bronzeMedal2 out of 23,069 
 
The Boeing Company
 patents

Years Active: 2013-2025

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Areas of Expertise:
Machine Learning
Object Detection
Visual Media
Sensor Fusion
Video Generation
Image Archiving
Recognition
Adaptive Features
Attention Mechanisms
Classification
Tracking
Homography Estimation
25 patents (USPTO):Explore Patents
1. 12340584 - Automatic generation of events using a machine-learning model (2025-06-24),
2. 12056929 - Automatic generation of events using a machine-learning model (2024-08-06),
3. 11829404 - Functional image archiving (2023-11-28),
4. 10891526 - Functional image archiving (2021-01-12),
5. 10685680 - Generating videos of media items associated with a user (2020-06-16),
6. 10242711 - Generating videos of media items associated with a user (2019-03-26),
7. 10176382 - Method and apparatus for sparse associative recognition and recall for visual media reasoning (2019-01-08),
8. 9911197 - Moving object spotting by forward-backward motion history accumulation (2018-03-06),
9. 9691431 - Generating videos of media items associated with a user (2017-06-27),
10. 9449259 - Opportunistic cascade and cascade training, evaluation, and execution for vision-based object detection (2016-09-20),
11. 9378420 - System for detecting an object of interest in a scene (2016-06-28),
12. 9342759 - Object recognition consistency improvement using a pseudo-tracklet approach (2016-05-17),
13. 9317776 - Robust static and moving object detection system via attentional mechanisms (2016-04-19),
14. 9165369 - Multi-object detection and recognition using exclusive non-maximum suppression (eNMS) and classification in cluttered scenes (2015-10-20),
15. 9165208 - Robust ground-plane homography estimation using adaptive feature selection (2015-10-20),

Title: The Innovative Journey of Shinko Yuanhsien Cheng

Introduction: Shinko Yuanhsien Cheng, a pioneering inventor based in Cupertino, CA, has made significant contributions to the world of technology through her groundbreaking innovations.

Latest Patents: Shinko Yuanhsien Cheng's latest patents focus on advancements in artificial intelligence and sustainable energy solutions, showcasing her commitment to creating a more efficient and eco-friendly future.

Career Highlights: With a career spanning over two decades, Shinko Yuanhsien Cheng has held key roles in various tech companies, leading research and development teams to bring cutting-edge products to the market.

Collaborations: Throughout her career, Shinko Yuanhsien Cheng has collaborated with top researchers, engineers, and designers, fostering a culture of innovation and excellence in all her projects.

Conclusion: Shinko Yuanhsien Cheng's relentless pursuit of innovation and her passion for creating technology that makes a positive impact on society solidify her position as a trailblazing inventor in the tech industry.

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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