معرفی
Yuan-Fang Li is an Associate Professor in the Department of Data Science & AI at Monash University's Faculty of Information Technology. He also serves as Associate Dean International. His research focuses on knowledge graphs, natural language processing, multimodality, and graph representation learning. He holds a PhD from National University of Singapore (2006) and a Bachelor of Computing (Honours) from the same institution (2002).
- Affiliations: Monash University (since 201?), National University of Singapore (PhD 2002-2006)
- Key Projects: Leading research on neuro-symbolic systems (HARNESS project), large-scale multimodal knowledge management, and maritime knowledge graphs
- Teaching: Taught courses including FIT4002, FIT4004, and supervised over 20 PhD students
Research interests include complex question answering over knowledge graphs, knowledge extraction from text/images, and structural/temporal graph learning. He has published 152+ works with notable contributions to scene graph generation, event extraction, and LLM-based reasoning. Key awards include the 2020 Best Student Paper Award and 2017 Kurzweil Prize.
- Grants: ARC Discovery Projects, industry collaborations (e.g., Outotec Oy)
- Labs/Teams: Active in Monash's Data Science & AI research groups, leading neuro-symbolic AI initiatives
