Beijing, China

Zhibin Yin

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Beijing Smartchip Microelectronics Technology Comp. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhibin Yin. Retrieved from https://idiyas.com/inventor/zhibin-yin

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

Calculating rank
USPTO Granted Patents = 1 

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: Zhibin Yin and Patent Innovation in Power-System Topology Recognition.

Introduction

Zhibin Yin is an inventor based in Beijing, China. His patent work includes a method for compressing topology recognition models for use in Internet of Things terminals in power systems.

Latest Patents

Yin is associated with 1 patent: “Method and Apparatus for Compressing Topology Recognition Model, Electronic Device, and Medium.” The invention describes an iterative process that prunes a neural-network model, trains it, reduces the bit quantity of its weight parameters, and trains it again. Repeating these steps produces a compressed topology recognition model for deployment on an Internet of Things in Power Systems terminal, with the aim of reducing the model’s size.

Career Highlights

Yin works at Beijing Smartchip Microelectronics Technology Co. His patent focuses on making topology recognition models more compact for power-system applications.

Collaborations

Yin’s listed coworkers include Jianan Yuan and Chao Huo.

Conclusion

Zhibin Yin’s patent describes a model-compression approach intended to support smaller topology recognition models on power-system IoT terminals.

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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