Projects per year
Personal profile
Biography
Yuan-Fang Li is a Senior Lecturer in the Department of Data Science & Artificial Intelligence (DS+AI), Faculty of Information Technology, Monash University. Yuan-Fang's research interests include knowledge graphs, ontology reasoning & knowledge representation, natural language processing, representation learning (embedding) of networks/graphs. Some of the research problems he works on include:
- Structural & temporal learning for hospital readmission risk prediction.
- Question generation from text & knowledge graphs.
- Complex question answering over knowledge graphs.
- Learning to improve ontology reasoning efficiency.
- Intuitive & scalable visualisation of non-hierarchy associations in large ontologies.
Related Links:
- More information can be found at Yuan Fang's personal homepage.
Monash teaching commitment
Dr Yuan-Fang Li has experience as the Chief Examiner for the following units in the Faculty of IT:
- FIT3013 Formal specification for software engineering
- FIT4002 Software engineering studio project
- FIT4004/FIT5171 System validation and verification, quality and standards
- FIT5138 Advanced Software Engineering
- FIT4008 Reading unit
- Minor thesis, Masters thesis and Honours thesis units
Dr Yuan-Fang has experience as the Lecturer for the following units in the Faculty of IT:
- FIT1010 Introduction to software engineering
- FIT3013 Formal specification for software engineering
- FIT4002 Software engineering studio project
- FIT4004/FIT5171 System validation and verification, quality and standards
- FIT5138 Advanced Software Engineering
- FIT4008 Reading unit
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
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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
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Reasoning under Uncertainty with Natural Language (2)
Li, Y., Haffari, R., Chang, X., Wang, T. & Pan, S.
1/06/20 → 30/06/22
Project: Research
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Reasoning under Uncertainty with Natural Language
Li, Y., Haffari, R., Chang, X., Wang, T. & Pan, S.
Defence Science and Technology Group (DST) (Australia)
4/12/19 → 28/08/20
Project: Research
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Multimodal feature-wise co-attention method for visual question answering
Zhang, S., Chen, M., Chen, J., Zou, F., Li, Y-F. & Lu, P., Sep 2021, In: Information Fusion. 73, 10 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
A general-purpose visual query language for knowledge graphs with bidirectional transformations
Fu, Q., Wang, X. & Li, Y-F., 2020, Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020). Taylor, K., Goncalves, R., Lecue, F. & Yan, J. (eds.). Aachen Germany: CEUR-WS, p. 138-143 5 p. (CEUR Workshop Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Few-shot complex knowledge base question answering via meta reinforcement learning
Hua, Y., Li, Y-F., Haffari, R., Qi, G. & Wu, T., 2020, EMNLP 2020, 2020 Conference on Empirical Methods in Natural Language Processing: Proceedings of the Conference. Cohn, T., He, Y. & Liu, Y. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 5827–5837 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Gaussian embedding of large-scale attributed graphs
Hettige, B., Li, Y. F., Wang, W. & Buntine, W., 2020, Databases Theory and Applications : 31st Australasian Database Conference, ADC 2020 Melbourne, VIC, Australia, February 3–7, 2020 Proceedings. Borovica-Gajic, R., Qi, J. & Wang, W. (eds.). Cham Switzerland : Springer, p. 134-146 13 p. (Lecture Notes in Computer Science ; vol. 12008 ).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
2 Citations (Scopus) -
Generating question titles for Stack Overflow from mined code snippets
Gao, Z., Xia, X., Grundy, J., Lo, D. & Li, Y-F., 2020, In: ACM Transactions on Software Engineering and Methodology. 29, 4, 37 p., 26.Research output: Contribution to journal › Article › Research › peer-review
Prizes
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Best Student Paper Award
Li, Yuan-Fang (Recipient), Jan 2020
Prize: Prize (including medals and awards)
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Activities
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World Wide Web (Journal)
Yuan-Fang Li (Peer reviewer)
2020 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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Information Sciences (Journal)
Yuan-Fang Li (Peer reviewer)
2020Activity: Publication peer-review and editorial work types › Peer review responsibility
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Pattern Recognition (Journal)
Yuan-Fang Li (Peer reviewer)
2019 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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IEEE Transactions on Neural Networks and Learning Systems (Journal)
Yuan-Fang Li (Peer reviewer)
2019 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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IEEE Transactions on Cybernetics (Journal)
Yuan-Fang Li (Peer reviewer)
2019 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
Press / Media
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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