Tianjin, China

Dan Song

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Tianjin University. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dan Song. Retrieved from https://idiyas.com/inventor/dan-song-d7cn1s0m

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Dan Song: Inventor in Visual Relationship Detection

Introduction

Dan Song is an inventor based in Tianjin, China, and is associated with Tianjin University. Her work includes a patent on visual relationship detection using region-aware learning mechanisms.

Latest Patents

Song is listed as an inventor on Visual Relationship Detection Method and System Based on Region-Aware Learning Mechanisms. The invention describes a method that builds graph structures from object relationships and their features, then uses visual attention and message propagation to infer predicates between object sets. The method combines information from neighboring nodes with visual features from the regions associated with entity objects. Song is credited with 1 patent.

Career Highlights

The available information identifies Song’s patent work in visual relationship detection and her association with Tianjin University. The patent focuses on combining graph-based representations with region-level visual features to support relationship inference.

Collaborations

Song’s listed coworkers include Ning Xu and Hongshuo Tian.

Conclusion

Dan Song’s patent reflects research into graph-based learning and visual features for detecting relationships between objects.

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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