Quincy, MA, United States of America

Xin Dong

This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms Technologies, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xin Dong. Retrieved from https://idiyas.com/inventor/xin-dong-ethq2jfn

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Inventor Xin Dong

Introduction

Xin Dong is an accomplished inventor based in Quincy, MA (US). He has made significant contributions to the field of neural networks, particularly in the area of sensor-based systems. His innovative approach to network partitioning has garnered attention in the tech community.

Latest Patents

Xin Dong holds a patent for "Network partitioning for sensor-based systems." This patent outlines methods, systems, and media for partitioning neural networks. The process involves obtaining a training set and training multiple neural networks that differ based on the dimensions of their layers and the location of a compression block. The selected neural network is tailored to meet the hardware constraints of the system it will be implemented on.

Career Highlights

Xin Dong is currently employed at Meta Platforms Technologies, LLC, where he continues to push the boundaries of technology. His work focuses on enhancing the efficiency and effectiveness of neural networks in various applications.

Collaborations

Xin has collaborated with notable colleagues, including Ziyun Li and Barbara De Salvo, who contribute to the innovative environment at Meta Platforms Technologies.

Conclusion

Xin Dong's contributions to neural network technology exemplify the spirit of innovation in the tech industry. His work not only advances the field but also sets the stage for future developments in sensor-based systems.

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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