Yantai, China

Peng Song

This inventor holds 1 USPTO granted patent. Top assignee: Yantai University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Peng Song. Retrieved from https://idiyas.com/inventor/peng-song-6yssv8k0

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 = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Peng Song - Innovator in Expression Recognition Technology.

Introduction

Peng Song is a notable inventor based in Yantai, China. He has made significant contributions to the field of expression recognition technology. His innovative approach integrates advanced techniques to enhance the accuracy of emotional state classification.

Latest Patents

Peng Song holds a patent for an "Expression recognition method and system based on multi-scale features and spatial attention." This invention focuses on the technical field of expression recognition. The method involves several steps, including feature extraction using an HNFER neural network model, pooling and concatenation of features based on a CoordAtt attention mechanism, and deep convolution processing to obtain an attention map. The final feature map undergoes transformation and normalization to output expression category probabilities. This model effectively recognizes and classifies different emotional states, even in complex environmental conditions.

Career Highlights

Peng Song is affiliated with Yantai University, where he continues to advance his research in expression recognition. His work has garnered attention for its innovative use of scale perception and spatial attention technologies.

Collaborations

Peng collaborates with talented individuals such as Zhaowei Liu and Haonan Wen, contributing to the advancement of their shared research interests.

Conclusion

Peng Song's contributions to expression recognition technology demonstrate his commitment to innovation and research excellence. His work not only enhances the understanding of emotional states but also paves the way for future advancements in the field.

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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