Projects per year
Personal profile
Research interests
Yuan-Fang Li (李元放) is an Associate Professor in the Department of Data Science & Artificial Intelligence (DS+AI), Faculty of Information Technology, Monash University. He is also the Associate Dean International of the Faculty.
Yuan-Fang's research interests include knowledge graphs, natural language processing, multimodality, and representation learning (embedding) of networks/graphs. 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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, Doctor of Philosophy, National University of Singapore (NUS)
Award Date: 18 Dec 2006
Computer Science, Bachelor of Computing (Honours), National University of Singapore (NUS)
Award Date: 7 Aug 2002
Research area keywords
- Knowledge Graphs
- Natural Language Processing
- Knowledge Representation
- Ontologies
- Semantic Web
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems
Rezatofighi, H. (Primary Chief Investigator (PCI)), Garcia De La Banda Garcia, M. (Chief Investigator (CI)), Li, Y.-F. (Chief Investigator (CI)), Stuckey, P. (Chief Investigator (CI)), Gasevic, D. (Chief Investigator (CI)), Gutierrez, J. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)), Ignatiev , A. (Chief Investigator (CI)), Swiecki, Z. (Chief Investigator (CI)), Vered, M. (Chief Investigator (CI)), Chen, G. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)) & Say, B. (Chief Investigator (CI))
20/06/23 → 20/02/27
Project: Research
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Large-scale multimodal knowledge management: From organization and user modeling to fast contextual presentation
Gasevic, D. (Primary Chief Investigator (PCI)), Swiecki, Z. (Chief Investigator (CI)), Li, Y.-F. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)), Hayat, M. (Chief Investigator (CI)), Chen, G. (Chief Investigator (CI)), Tsai, Y.-S. (Chief Investigator (CI)), Do, T. (Chief Investigator (CI)), Zhuang, B. (Chief Investigator (CI)) & Wang, T. (Chief Investigator (CI))
2/09/22 → 1/09/25
Project: Research
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Cross-lingual text summarisation with a plan
Li, Y.-F. (Primary Chief Investigator (PCI)), Haffari, R. (Chief Investigator (CI)) & Qu, L. (Chief Investigator (CI))
1/06/22 → 31/08/22
Project: Research
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Intelligent process control based on large-scale data mining and deep reinforcement learning
Li, Y.-F. (Primary Chief Investigator (PCI)), Pan, S. (Chief Investigator (CI)) & Chang, X. (Chief Investigator (CI))
Metso Outotec Oy, Outotec Pty Ltd
1/07/20 → 30/06/23
Project: Research
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Reasoning under Uncertainty with Natural Language (2)
Li, Y.-F. (Primary Chief Investigator (PCI)), Haffari, R. (Chief Investigator (CI)), Chang, X. (Chief Investigator (CI)), Wang, T. (Chief Investigator (CI)) & Pan, S. (Chief Investigator (CI))
1/06/20 → 15/11/23
Project: Research
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Hypergraph node representation learning with one-stage message passing
Qu, S., Wang, W., Li, Y. F., Zhou, X. & Yuan, F., Jan 2026, In: Neural Networks. 193, 10 p., 107973.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Scalable and effective negative sample generation for hyperedge prediction
Qu, S., Wang, W., Li, Y.-F., Nguyen, Q. V. H. & Yin, H., Jan 2026, In: Neural Networks. 193, 13 p., 108034.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
Luo, L., Zhao, Z., Haffari, G., Li, Y. F., Gong, C. & Pan, S., 2025, Proceedings of the 42nd International Conference on Machine Learning. Singh, A., Fazel, M., Hsu, D., Lacoste-Julien, S., Berkenkamp, F., Maharaj, T., Wagstaff, K. & Zhu, J. (eds.). London UK: Proceedings of Machine Learning Research (PMLR), Vol. 267. p. 41540-41565 26 p. (Proceedings of Machine Learning Research; vol. 267).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access2 Citations (Scopus) -
Hier-SLAM: Scaling-Up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting
Li, B., Cai, Z., Li, Y. F., Reid, I. & Rezatofighi, H., 2025, 2025 IEEE International Conference on Robotics and Automation, ICRA 2025. Ott, C., Admoni, H., Behnke, S., Bogdan, S., Bolopion, A., Choi, Y., Ficuciello, F., Gans, N., Gosselin, C., Harada, K., Kayacan, E., Kim, H. J., Leutenegger, S., Liu, Z., Maiolino, P., Marques, L., Matsubara, T., Mavromatti, A., Minor, M., O'Kane, J., Park, H. W., Park, H.-W., Rekleitis, I., Renda, F., Ricci, E., Riek, L. D., Sabattini, L., Shen, S., Sun, Y., Wieber, P.-B., Yamane, K. & Yu, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 9748-9754 7 p. (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus) -
NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions
Cai, Z., Cardenas, C. R., Leo, K., Zhang, C., Backman, K., Li, H., Li, B., Ghorbanali, M., Datta, S., Qu, L., Gutierrez, J., Ignatiev, A., Li, Y.-F., Vered, M., Stuckey, P. J., De La Banda, M. G. & Rezatofighi, H., Sept 2025, In: IEEE Robotics and Automation Letters. 10, 9, p. 9502-9509 8 p.Research output: Contribution to journal › Article › Research › peer-review
Prizes
Activities
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World Wide Web (Journal)
Li, Y.-F. (Peer reviewer)
2020 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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Information Sciences (Journal)
Li, Y.-F. (Peer reviewer)
2020Activity: Publication peer-review and editorial work types › Peer review responsibility
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Big Data Research (Journal)
Li, Y.-F. (Editorial board member)
2019 → …Activity: Publication peer-review and editorial work types › Editorial responsibility
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IEEE Transactions on Neural Networks and Learning Systems (Journal)
Li, Y.-F. (Peer reviewer)
2019 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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BMC Bioinformatics (Journal)
Li, Y.-F. (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
Hettige, B., Wang, T., Li, Y.-F. & Buntine, W.
11/05/20
1 item of Media coverage
Press/Media: Article/Feature