This inventor holds 1 USPTO granted patent. Top assignee: National University of Defense Technology. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Weixin Zeng: Innovator in Knowledge Graph Fusion
Introduction
Weixin Zeng is a prominent inventor based in Changsha, China. He has made significant contributions to the field of knowledge graph technology. His innovative approach focuses on enhancing the efficiency and accuracy of knowledge graph fusion.
Latest Patents
Weixin Zeng holds a patent for a "Knowledge graph fusion method based on iterative completion." This method involves obtaining multiple knowledge graphs and identifying each entity within them. It includes performing structure vector representation learning and entity name vector representation learning for each entity. The process determines structural and entity name similarities between entities. A degree-aware-based co-attention network is constructed to calculate entity similarity between fused entities. The method ultimately aims to obtain high-confidence entity pairs and perform knowledge graph completion through iterative training, resulting in fused knowledge graphs. He has 1 patent to his name.
Career Highlights
Weixin Zeng is affiliated with the National University of Defense Technology. His work at this institution has allowed him to explore advanced methodologies in knowledge graph technology. His research has implications for various applications, including artificial intelligence and data integration.
Collaborations
Weixin Zeng has collaborated with notable colleagues, including Xiang Zhao and Jiuyang Tang. Their combined expertise contributes to the advancement of knowledge graph research and its applications.
Conclusion
Weixin Zeng is a key figure in the field of knowledge graph fusion, with a focus on innovative methods that enhance data integration. His contributions are paving the way for future advancements in this critical area of technology.