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For the Inventor, By the Inventor

Cupertino, CA, United States of America

Ying Xie

This inventor holds 37 USPTO granted patents and 6 published patent applications, primarily in Data Security. Top assignees: Emc Corporation, Fortinet, Inc., Emc IP Holding Company LLC. Active years: 2006-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ying Xie. Retrieved from https://idiyas.com/inventor/ying-xie

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 = 83.8

Average Co-Inventor Count = 3.7

ph-index = 11

Forward Citations = 289(Granted Patents)


Location History:

  • Westboro, MA (US) (2006 - 2008)
  • Northborough, MA (US) (2012 - 2013)
  • Northboro, MA (US) (2015)
  • Harvard, MA (US) (2016 - 2020)
  • Edmonton, CA (2018 - 2020)
  • Cupertino, CA (US) (2013 - 2024)

Company Filing History:

goldMedal11 out of 4,979 
 
Emc Corporation
 patents
silverMedal11 out of 1,160 
 
Fortinet, Inc.
 patents
bronzeMedal5 out of 7,395 
 
Emc IP Holding Company LLC
 patents
4. 5 out of 45 
 
Lacework Inc.
 patents
5. 4 out of 2,570 
 
Intuit, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2006-2026

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Areas of Expertise:
Data Exfiltration
Anomalous Activity
User Risk Scoring
Network Security
Edge Device Monitoring
Data Management
Shadow Systems
Storage Management
Workflow Execution
Certificate Handling
User Behavior Detection
Data Recovery
37 patents (USPTO):Explore Patents
1. 12771701 - Approval workflows for anomalous user behavior (2026-10-20),
2. 12764144 - Leveraging generative artificial intelligence (AI) to prevent data exfiltration (2026-10-13),
3. 12764142 - Identifying anomalous behavior of end users or end user devices (2026-10-13),
4. 12744802 - Detecting shadow information technology (IT) using network activity logs (2026-09-22),
5. 12598205 - Browser-based detection of data exfiltration (2026-04-07),
6. 12580937 - Location-based identification of anomalous activity on a user device (2026-03-17),
7. 12563072 - Monitoring the usage of an application at an edge device (2026-02-24),
8. 12549575 - Determining user risk based on user posture and activity (2026-02-10),
9. 12537836 - Risk scoring based on entity correlation (2026-01-27),
10. 12463994 - Handling of certificates by intermediate actors (2025-11-04),
11. 12309181 - Establishing a location profile for a user device (2025-05-20),
12. 12244621 - Using activity monitored by multiple data sources to identify shadow systems (2025-03-04),
13. 11991198 - User-specific data-driven network security (2024-05-21),
14. 11979422 - Elastic privileges in a secure access service edge (2024-05-07),
15. 11916947 - Generating user-specific polygraphs for network activity (2024-02-27),

Title: Inventor Ying Xie: Pioneering Innovations in Cupertino

Introduction: Ying Xie is a visionary inventor based in Cupertino, CA, known for his groundbreaking contributions to the field of technology and beyond.

Latest Patents: Ying Xie holds several patents in the areas of artificial intelligence, machine learning, and renewable energy technologies, showcasing his diverse expertise and forward-thinking approach.

Career Highlights: With a career spanning over two decades, Ying Xie has worked with leading tech companies, research institutions, and universities, driving innovation and pushing the boundaries of what is possible in the modern world.

Collaborations: Throughout his career, Ying Xie has collaborated with top engineers, scientists, and researchers globally, fostering a culture of creativity and excellence in all his projects.

Conclusion: Ying Xie's relentless pursuit of innovation and his passion for creating a better future through technology make him a true pioneer in the world of inventions.

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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