Jiaoyan Chen

Jiaoyan Chen is a Lecturer in the Department of Computer Science at The University of Manchester. Her research interests include knowledge representation, knowledge graphs, ontologies, semantic techniques, machine learning, and data and knowledge management for AI. She focuses on evaluating and augmenting large language models with structured data and ontologies. Chen teaches courses such as Data Engineering Technologies, Advanced Topics in Knowledge Representation and Reasoning, and Data Engineering. She is also involved in research projects such as OntoEm: Semantic Embedding for Ontologies.

Jiaoyan Chen is a researcher in the Department of Computer Science at the University of Manchester, focusing on Knowledge Graph, Ontology, and Artificial Intelligence. Their work explores the integration of knowledge graphs with machine learning techniques to enhance reasoning, alignment, and semantic understanding. Chen's research includes embedding ontologies, improving knowledge graph reasoning, and applying knowledge graphs to domains such as finance and healthcare. They have also contributed to ontology alignment, zero-shot learning, and multi-modal learning. Their publications highlight the potential of knowledge graphs in tasks like stock trend prediction, clinical coding, and semantic reasoning.