Beijing, China

Huifeng Bai

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Huifeng Bai. Retrieved from https://idiyas.com/inventor/huifeng-bai

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: Huifeng Bai and Model Compression for Power-System Topology Recognition.

Introduction

Huifeng Bai 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

Bai is associated with one patent: “Method and Apparatus for Compressing Topology Recognition Model, Electronic Device, and Medium.” The invention describes repeatedly pruning and training a neural network model, then reducing the bit quantity of its weight parameters and training it again. These steps are repeated until a compressed topology recognition model is produced for deployment on an Internet of Things in Power Systems (IOTIPS) terminal. The approach is intended to reduce the model’s size.

Career Highlights

Bai works at Beijing Smartchip Microelectronics Technology Co. His patent focuses on making topology recognition models more compact for deployment in power-system IoT devices.

Collaborations

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

Conclusion

Huifeng Bai’s patent addresses the practical challenge of reducing topology recognition model size through iterative pruning and quantization, supporting deployment 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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