Zhanjiang, China

Aimin Lu

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Guangdong Ocean University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aimin Lu. Retrieved from https://idiyas.com/inventor/aimin-lu

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 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Aimin Lu: Innovator in Fish Knowledge Graph Construction

Introduction

Aimin Lu is a prominent inventor based in Zhanjiang, China. He has made significant contributions to the field of knowledge graph construction, particularly in the context of fish data. His innovative approach combines ontology-driven methods with advanced data processing techniques.

Latest Patents

Aimin Lu holds a patent for an "Ontology-driven method and system for constructing fish knowledge graph in target region." This patent outlines a comprehensive system that includes combing a fish data source, constructing a fish knowledge ontology, and collecting both text and image data. The method enhances the processing accuracy and efficiency of unstructured fish information by performing knowledge extraction and measuring information content to create a multi-modal knowledge graph.

Career Highlights

Aimin Lu is affiliated with Guangdong Ocean University, where he applies his expertise in fish knowledge systems. His work focuses on improving the understanding and management of fish data, which is crucial for various applications in marine biology and fisheries.

Collaborations

Aimin Lu collaborates with notable colleagues, including Yunrong Yan and Xurui Liao. Their combined efforts contribute to advancing research in the field of fish knowledge graphs.

Conclusion

Aimin Lu's innovative work in constructing fish knowledge graphs represents a significant advancement in the field of data processing and ontology-driven methods. His contributions are essential for enhancing the understanding of fish data in targeted regions.

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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