معرفی
Professor Jian Qu is affiliated with the University of Hamburg as a Petra Kappert Fellow at the Centre for the Study of Manuscript Cultures (CSMC). His research focuses on computational approaches to manuscript analysis, particularly knowledge graph question answering, ontology learning, and text-graph representations. He has made significant contributions to natural language processing techniques applied to scholarly data and biomedical text analysis.
Qu's research bridges artificial intelligence with cultural heritage preservation, developing methods to extract and structure knowledge from historical documents. His recent work involves hybrid prompt learning for knowledge graph generalization and benchmarking question answering systems across diverse datasets. The interdisciplinary nature of his work spans computational linguistics, semantic web technologies, and digital humanities.
His publications demonstrate consistent focus on improving knowledge extraction and question answering systems, with recent emphasis on generalization across datasets and domains. Methodological innovations include attention-based neural networks for biomedical classification and unsupervised approaches for ontology construction from textual data.
