This inventor holds 1 USPTO granted patent. Top assignee: National University of Defense Technology. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Jibing Wu: Innovator in Knowledge Graph Fusion
Introduction
Jibing Wu is a prominent inventor based in Changsha, China. He has made significant contributions to the field of knowledge graph fusion, showcasing his expertise through innovative methodologies. His work is particularly focused on enhancing the efficiency and accuracy of knowledge graph integration.
Latest Patents
Jibing Wu holds a patent for a "Knowledge graph fusion method based on iterative completion." This patent outlines a comprehensive approach that includes obtaining multiple knowledge graphs and identifying entities within them. The method involves performing structure vector representation learning and entity name vector representation learning to derive structural and name similarities between entities. Furthermore, it constructs a degree-aware-based co-attention network to calculate entity similarities and achieve high-confidence entity pairs for knowledge graph completion through iterative training.
Career Highlights
Jibing Wu is affiliated with the National University of Defense Technology, where he applies his research to advance the field of knowledge representation and artificial intelligence. His innovative methods have garnered attention for their potential applications in various domains, including data integration and semantic web technologies.
Collaborations
Jibing Wu collaborates with notable colleagues such as Xiang Zhao and Weixin Zeng. Their combined expertise contributes to the development of cutting-edge solutions in knowledge graph technologies.
Conclusion
Jibing Wu's contributions to knowledge graph fusion exemplify the impact of innovative thinking in technology. His patent and collaborative efforts highlight the importance of advancing methodologies in data integration and representation.