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For the Inventor, By the Inventor

Santa Clara, CA, United States of America

Zhongyi Jin

This inventor holds 15 USPTO granted patents and 5 published patent applications. Top assignees: Johnson Controls Tyco IP Holdings LLP, Tyco Fire + Security Gmbh, Tyco Fire & Security Gmbh. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhongyi Jin. Retrieved from https://idiyas.com/inventor/zhongyi-jin

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

USPTO Granted Patents = 15 

% Patents Active = 93.3

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal7 out of 710 
 
Johnson Controls Tyco IP Holdings LLP
 patents
silverMedal5 out of 733 
 
Tyco Fire + Security Gmbh
 patents
bronzeMedal2 out of 170 
 
Tyco Fire & Security Gmbh
 patents
4. 1 out of 1,948 
 
Johnson Controls Technology Company
 patents

Years Active: 2020-2026

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15 patents (USPTO):Explore Patents
1. 12699732 - Systems and methods for mapping a building schema into a graph data schema (2026-08-04),
2. 12542830 - Building management system with configuration by building model augmentation (2026-02-03),
3. 12231496 - Building management system with dynamic building model enhanced by digital twins (2025-02-18),
4. 12222689 - Building system with string mapping based on a sequence to sequence neural network (2025-02-11),
5. 12063274 - Self-configuring building management system (2024-08-13),
6. 12058212 - Building management system with auto-configuration using existing points (2024-08-06),
7. 12032344 - Adaptive selection of machine learning/deep learning model with optimal hyper-parameters for anomaly detection of connected equipment (2024-07-09),
8. 11874809 - Building system with naming schema encoding entity type and entity relationships (2024-01-16),
9. 11747776 - Adaptive training and deployment of single device and clustered device fault detection models for connected equipment (2023-09-05),
10. 11693374 - Building system with string mapping based on a sequence to sequence neural network (2023-07-04),
11. 11604441 - Automatic threshold selection of machine learning/deep learning model for anomaly detection of connected chillers (2023-03-14),
12. 11531310 - Adaptive selection of machine learning/deep learning model with optimal hyper-parameters for anomaly detection of connected chillers (2022-12-20),
13. 11474485 - Adaptive training and deployment of single chiller and clustered chiller fault detection models for connected chillers (2022-10-18),
14. 11411999 - Building system with dynamic manufacturer usage description (MUD) files based on building model queries (2022-08-09),
15. 10713541 - Systems and methods for occlusion handling in a neural network via activation subtraction (2020-07-14),

Title: The Innovative Journey of Inventor Zhongyi Jin

Introduction: Zhongyi Jin, a talented inventor based in Santa Clara, CA, has made significant contributions to the field of technology through his groundbreaking innovations and patents.

Latest Patents: Zhongyi Jin holds several patents in the areas of artificial intelligence, machine learning, and semiconductor technology, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a background in electrical engineering and computer science, Zhongyi Jin has worked for top tech companies in Silicon Valley, where he honed his skills and developed a passion for creating innovative solutions to complex problems.

Collaborations: Throughout his career, Zhongyi Jin has collaborated with leading researchers and engineers in the industry, fostering a culture of innovation and pushing the boundaries of what is possible in the tech world.

Conclusion: Zhongyi Jin's relentless pursuit of innovation and his commitment to pushing the limits of technology make him a standout figure in the world of inventors. His work continues to inspire and shape the future of technological advancements.

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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