Jiuyang Tang

Title: Innovations of Jiuyang Tang in Knowledge Graph Fusion

Introduction: Jiuyang Tang 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 focuses on enhancing the efficiency and accuracy of knowledge graph integration.

Latest Patents: Jiuyang Tang 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, identifying entities within these graphs, and performing structure vector representation learning. The method further involves determining structural and entity name similarities, constructing a degree-aware-based co-attention network, and achieving knowledge graph completion through iterative training. This innovative approach aims to produce high-confidence entity pairs and fused knowledge graphs.

Career Highlights: Jiuyang Tang is affiliated with the National University of Defense Technology, where he contributes to research and development in advanced technologies. His work has garnered attention for its practical applications in various domains, particularly in data integration and artificial intelligence.

Collaborations: Jiuyang Tang collaborates with notable colleagues, including Xiang Zhao and Weixin Zeng. Their combined efforts enhance the research output and innovation potential within their field.

Conclusion: Jiuyang Tang's contributions to knowledge graph fusion exemplify the impact of innovative methodologies in technology. His patent and collaborative efforts reflect a commitment to advancing the field and improving data integration processes.