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Hangzhou, China

Zhejiang Lab

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USPTO Granted Patents = 183

EPO Patents = 1

Trademarks = 1

Forward Citations = 35

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393 inventors (with patents filed for the assignee):

Ruyun Zhang (23 out of 23 patents)

Hongsheng Wang (22 out of 22 patents)

Jingsong Li (22 out of 22 patents)

4. Tao Zou (21 out of 24 patents)

5. Yu Tian (17 out of 19 patents)

6. Tianshu Zhou (17 out of 17 patents)

7. Guang Chen (14 out of 15 patents)

8. Qi Xu (10 out of 12 patents)

9. Shunbin Li (10 out of 10 patents)

10. Yu Zhang (10 out of 44 patents)

11. Huizhu Hu (9 out of 9 patents)

12. Hujun Bao (9 out of 28 patents)

13. Wei Hua (9 out of 9 patents)

14. Hanguang Luo (8 out of 8 patents)

15. Jun Zhu (7 out of 10 patents)

Core Competencies:

Data Processing

Optical Communication

Neural Network Models

5G Networks

Sensor Integration

Machine Learning

Image Reconstruction

Dynamic Memory Management

Medical Imaging

Terahertz Detection

Autonomous Vehicles

Cache Design

183 patents: Sort by Forward Citations

1. 12762184 - Graph data processing (2026-10-13),

2. 12741710 - Whole-body compliance control method applied to fast walking biped robot (2026-09-22),

3. 12737627 - Data caching method and apparatus for multiple concurrent deep learning training tasks (2026-09-15),

4. 12706582 - Multiplexer and detector (2026-08-11),

5. 12683912 - Multi-user flexible ethernet fine granularity time slot allocation method and apparatus (2026-07-14),

6. 12671661 - Converged data exchange method and time-sensitive network switch (2026-06-30),

7. 12670734 - Real-time license plate detection and recognition method and device based on color augmentation (2026-06-30),

8. 12670111 - Exception handling system and method, and detection device for space environment (2026-06-30),

9. 12670024 - Parallel method and device for convolution computation and data loading of neural network accelerator (2026-06-30),

10. 12664443 - Event prediction method based on satellite orbit threat domain knowledge graph (2026-06-23),

11. 12663298 - Fiber optic sensor and measurement method, apparatus and storage medium (2026-06-23),

12. 12634308 - Method for detecting network attack based on kernel operating characteristics of software switch (2026-05-19),

13. 12626118 - Two-dimensional photonic convolutional acceleration system and device for convolutional neural network (2026-05-12),

14. 12613511 - Methods and apparatuses for data processing, storage mediums and electronic devices (2026-04-28),

15. 12610408 - Method for signaling interaction in 5G space-ground integrated heterogeneous network architecture (2026-04-21),

Company Overview

Zhejiang Lab, located in Hangzhou, China, specializes in advanced data processing technologies. The organization focuses on a range of core areas including optical communication, neural network models, and machine learning. Its research extends to innovative applications in 5G networks, sensor integration, and image reconstruction, contributing to the evolution of dynamic memory management solutions. By leveraging cutting-edge methodologies, Zhejiang Lab aims to drive technological advancements and foster collaboration in the field of data science and communication technologies.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

183 Patents

#5 in Hangzhou

#183 in China

#4,572 in the World

Hangzhou, China

Zhejiang Lab

Forward Citations = 35

393 inventors:

Ruyun Zhang (23 out of 23 patents)

Hongsheng Wang (22 out of 22 patents)

Jingsong Li (22 out of 22 patents)

4. Tao Zou (21 out of 24 patents)

5. Yu Tian (17 out of 19 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Zhejiang Lab. Retrieved from https://idiyas.com/company/zhejiang-lab

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

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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