Shanghai, China

Jinyun Ye

This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2008.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jinyun Ye. Retrieved from https://idiyas.com/inventor/jinyun-ye

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Jinyun Ye: Inventor of a Managed-Code Generation Method

Introduction

Jinyun Ye is an inventor associated with Shanghai, China, and Intel Corporation. Her patent work includes a method for creating managed code from native code.

Latest Patents

Ye is associated with one patent, titled “Creating Managed Code from Native Code.” The invention describes generating an assembly for use in a managed environment. The assembly can combine a native code module, a managed wrapper, and prototype information in one object file. The method uses prototype information to generate the wrapper and create the combined assembly. In some embodiments, the wrapper is generated automatically, reducing the work required of developers. Ye is associated with 1 patent.

Career Highlights

Ye’s patent work reflects an effort to connect native code with managed environments through a unified assembly. The described approach brings together code and the information needed to create a managed wrapper.

Collaborations

Ye’s listed coworkers include Gururaj Nagendra and Zhikai Song. Her patent is associated with Intel Corporation.

Conclusion

Jinyun Ye’s patent describes a practical approach to packaging native code and a managed wrapper together, with the potential to simplify integration for developers.

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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