Projects per year
Personal profile
Research interests
Yuan-Fang Li is an Associate Professor in the Department of Data Science & Artificial Intelligence (DS+AI), Faculty of Information Technology, Monash University. Yuan-Fang's research interests include knowledge graphs, natural language processing, representation learning (embedding) of networks/graphs, and ontology reasoning & knowledge representation. Some of the research problems he works on include:
- Complex question answering over text and knowledge graphs.
- Knowledge extraction from other modalities: e.g. event/relation extraction from text and scene graph generation from images.
- Structural & temporal learning on graphs.
- Question generation from text & knowledge graphs.
Related Links:
- More information can be found at Yuan Fang's personal homepage.
Monash teaching commitment
Yuan-Fang has experience as the Chief Examiner for the following units in the Faculty of IT:
- FIT4002 Software engineering studio project
- FIT4004/FIT5171 System validation and verification, quality and standards
- FIT5138 Advanced Software Engineering
- FIT3013 Formal specification for software engineering
- FIT4008 Reading unit
- Minor thesis, Masters thesis and Honours thesis units
Education/Academic qualification
Computer Science, Doctor of Philosophy, National University of Singapore
Award Date: 18 Dec 2006
Computer Science, Bachelor of Computing (Honours), National University of Singapore
Award Date: 7 Aug 2002
Research area keywords
- Knowledge Graphs
- Natural Language Processing
- Knowledge Representation
- Ontologies
- Semantic Web
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Large-scale multimodal knowledge management: From organization and user modeling to fast contextual presentation
Gasevic, D., Swiecki, Z., Li, Y., Haffari, R., Hayat, M., Chen, G., Tsai, Y., Do, T., Zhuang, B. & Wang, T.
2/09/22 → 1/09/25
Project: Research
-
NEL: The Nexus of Public and Elite Opinions: Implications for Policies and Institutions
Thomson, R., Lin, D., Arunachalam, D. & Li, Y.
Office of National Intelligence (ONI) (Australia)
1/07/22 → 30/06/25
Project: Research
-
RACE for 2030: Reliable Affordable Clean Energy for 2030 Cooperative Research Centre (RACE for 2030 CRC)
Beins, D., Liebman, A., Bahrani, B., Leroux, A., Kraal, D., Razzaghi, R., Strengers, Y., Goodwin, S., Pink, S., Rudolph, C., Raven, R., Bergmeir, C., Saunderson, J., Leslie, G., Gangadharan, L., Islam, A., Wang, L. C., Ward, M., Xiao, E., Wallace, M., Tack, G., Stuckey, P., Li, Y., Pan, S., de Nijs, F., Buckingham, E., Denis-Ryan, A., Ens, B., Dargaville, R., Chang, X., Yu, J., White, S., Zlatanov, N., Hyndman, R., Panagiotelis, A. & Athanasopoulos, G.
1/07/20 → 30/06/31
Project: Research
-
Reasoning under Uncertainty with Natural Language (2)
Li, Y., Haffari, R., Chang, X., Wang, T. & Pan, S.
1/06/20 → 15/11/23
Project: Research
-
-
MonaGO: a novel gene ontology enrichment analysis visualisation system
Xin, Z., Cai, Y., Dang, L. T., Burke, H. M. S., Revote, J., Charitakis, N., Bienroth, D., Nim, H. T., Li, Y. F. & Ramialison, M., 14 Feb 2022, In: BMC Bioinformatics. 23, 1, 16 p., 69.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Paraphrasing techniques for maritime QA system
Shiri, F., Zhuo, T., Li, Z., Pan, S., Wang, W., Haffari, R., Li, Y-F. & Nguyen, V., 2022, 2022 25th International Conference on Information Fusion (FUSION). Mihaylova, L., Pfaff, F. & Malmström, T. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
-
Adaptive knowledge-enhanced Bayesian meta-learning for few-shot event detection
Shen, S., Wu, T., Qi, G., Li, Y-F., Haffari, G. & Bi, S., 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Zong, C., Xia, F., Li, W. & Navigli, R. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 2417–2429 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile7 Citations (Scopus) -
ANEMONE: graph anomaly detection with multi-scale contrastive learning
Jin, M., Liu, Y., Zheng, Y., Chi, L., Li, Y-F. & Pan, S., 2021, Proceedings of the 30th ACM International Conference on Information & Knowledge Management. Li, H. & Roitero, K. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 3122-3126 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus) -
Boosting house price predictions using geo-spatial network embedding
Das, S. S. S., Ali, M. E., Li, Y-F., Kang, Y-B. & Sellis, T., 3 Sep 2021, In: Data Mining and Knowledge Discovery. 35, p. 2221-2250 30 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus)
Prizes
-
Best Student Paper Award
Li, Yuan-Fang (Recipient), Jan 2020
Prize: Prize (including medals and awards)
-
-
-
Activities
-
Information Sciences (Journal)
Yuan-Fang Li (Peer reviewer)
2020Activity: Publication peer-review and editorial work types › Peer review responsibility
-
World Wide Web (Journal)
Yuan-Fang Li (Peer reviewer)
2020 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
-
Neurocomputing (Journal)
Yuan-Fang Li (Peer reviewer)
2019 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
-
Big Data Research (Journal)
Yuan-Fang Li (Editorial board member)
2019 → …Activity: Publication peer-review and editorial work types › Editorial responsibility
-
BMC Bioinformatics (Journal)
Yuan-Fang Li (Peer reviewer)
2019 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
Press / Media
-
Healthcare efficiency: AI technology to reduce hospital readmissions
Bhagya Hettige, Teresa Wang, Yuan-Fang Li & Wray Buntine
11/05/20
1 item of Media coverage
Press/Media: Article/Feature