Palo Alto, CA, United States of America

Jin Zhang

This inventor holds 37 USPTO granted patents and 2 published patent applications and 3 EPO patents, primarily in Reinforcement Learning. Top assignees: Vmware, Inc., Ca, Inc., Cisco Technology, Inc.. Active years: 2008-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jin Zhang. Retrieved from https://idiyas.com/inventor/jin-zhang-b7e9p5p1

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

Calculating rank
USPTO Granted Patents = 37 

% Patents Active = 91.9

 

Average Co-Inventor Count = 3.3

ph-index = 7

Forward Citations = 412(Granted Patents)


Location History:

  • Cupertino, CA (US) (2010)
  • Sunnyvale, CA (US) (2010 - 2016)
  • Islandia, NY (US) (2019)
  • Palo Alto, CA (US) (2018 - 2021)
  • Fremont, CA (US) (2019 - 2021)
  • Ellicott City, MD (US) (2020 - 2021)
  • San Jose, CA (US) (2008 - 2023)
  • Mountain View, CA (US) (2010 - 2023)
  • Qingdao, CN (2022 - 2023)

Company Filing History:


Years Active: 2008-2023

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Areas of Expertise:
Reinforcement Learning
Communications
Machine Learning
Data Storage
High-Definition LiDAR
Data De-duplication
Fault Tolerance
Multi-Tenant Encryption
Bot Detection
Cardiovascular Monitoring
Dynamic Hybrid Network
Virtual Machine Upgrades
37 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Jin Zhang in Palo Alto, CA

Introduction

Jin Zhang is an accomplished inventor based in Palo Alto, California, known for his significant contributions to the field of communication networks and machine learning. With an impressive portfolio of 37 patents, he has made strides in advancing technology and improving systems through innovative solutions.

Latest Patents

Jin's latest patents showcase his expertise in cutting-edge technology. One notable invention is a method for operating sectorized communications from aerospace platforms using reinforcement learning. This patent outlines a process for managing a communication network by utilizing input data to determine policies that guide the formation of multiple communication links over time. Such links are vital for ensuring effective communication pathways in the network.

Another significant contribution is his work on validating machine learning models after deployment, specifically for medical diagnosis applications. This patent addresses the critical need for post-deployment validation to minimize misdiagnoses, introducing a process that monitors model performance and detects anomalies. By identifying low-performing models swiftly, improvements can be made to enhance the accuracy of medical diagnoses.

Career Highlights

Jin Zhang has had a distinguished career, working at renowned companies such as VMware and CA Technologies. His experience in these organizations has allowed him to deepen his expertise in innovative technologies and their applications in communication and machine learning.

Collaborations

Throughout his career, Jin has collaborated with notable professionals, including colleagues Sharath Ananth and Radhika Vullikanti. These collaborations have fostered an environment of creativity and shared knowledge, contributing to the development of innovative solutions in their respective fields.

Conclusion

Jin Zhang’s impressive patent portfolio and contributions to innovations in communication networks and machine learning reflect his dedication to making impactful advancements in technology. His work not only highlights his inventive spirit but also signifies the ongoing evolution of systems that enhance our daily lives and industries.

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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