Projects per year
Personal profile
Biography
Dr. Teresa Wang is accepting PhD with scholarship provided: the link to project details. The applicate due date is 25th/Sep.
Dr. Teresa Weiqing Wang is currently a senior lecturer (roughly equivalent to the level of "associate professor" in North American universities) in data science with Faculty of Information Technology, Monash University. She previously worked as a post-doctoral research fellow at Data and Knowledge Engineering (DKE) Group, the University of Queensland, where she also obtained her Ph.D. degree. She obtained both her bachelor degree in Software Engineering and master degree in Computer Science from Nanjing University.
Research interests
Dr. Teresa Wang's current main research interests include entity/user modelling, relational/structural and spatial/temporal machine learning, graph/network construction and analysis, and recommender systems. She is especially interested in social data, eCommerce data, and health/medical data modelling. For more information, please refer to her pages: https://scholar.google.com/citations?user=jCziD10AAAAJ&hl=en and https://wwqnju.bitbucket.io/
Monash teaching commitment
Dr. Teresa Weiqing Wang was the director of Master of Data Science Program and also has the teaching experience for the following unit in the Faculty of IT:
- FIT5201 Machine Learning
- FIT9136 Algorithms and programming foundations in Python
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, Ph.D., Point of Interests Recommendation in Location-Based Social Networks, University of Queensland
2013 → 2017
Award Date: 22 Jun 2017
Computer Science, Master, Nanjing University
2010 → 2013
Award Date: 30 Jun 2013
Software Engineering, Bachelor, Nanjing University
2006 → 2010
Award Date: 30 Jun 2010
Research area keywords
- recommender system
- Spatio-Temporal Data Analysis
- graph mining
- entity modeling
- user modeling
- relation machine learning
- deep learning
- Social Media Analysis
- electronic medical records mining
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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Knowledge Enriched Approach for Effective Personalization
Wang, T. (Primary Chief Investigator (PCI))
1/01/25 → 31/12/27
Project: Research
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CSIRO Next Generation Graduates Program: AI in Mental Health
McNaney, R. (Primary Chief Investigator (PCI)), Olivier, P. (Chief Investigator (CI)), Yap, M. (Chief Investigator (CI)), Cai, J. (Chief Investigator (CI)), Wu, L. (Chief Investigator (CI)), Watterson, J. (Chief Investigator (CI)), Haffari, R. (Partner Investigator (PI)), Qu, L. (Partner Investigator (PI)), Wilson Rajaratnam, S. (Partner Investigator (PI)), Wang, T. (Partner Investigator (PI)), Sharp, G. (Partner Investigator (PI)), Alvarez-Jimenez, M. (Chief Investigator (CI)), D'Alfonso, S. (Chief Investigator (CI)) & Kostakos, V. (Chief Investigator (CI))
Pola Practice Pty Ltd, Crank Group Pty Ltd
5/04/23 → 31/12/27
Project: Research
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AI for Clean Energy and Sustainability
Wang, H. (Primary Chief Investigator (PCI)), Jalili, M. (Chief Investigator (CI)), Strengers, Y. (Chief Investigator (CI)), Hill, D. (Chief Investigator (CI)), Razzaghi, R. (Chief Investigator (CI)), Goodwin, S. (Chief Investigator (CI)), Liebman, A. (Associate Investigator (AI)), Pink, S. (Associate Investigator (AI)), Le Bodic, P. (Associate Investigator (AI)), Salehi, M. (Associate Investigator (AI)), Wang, T. (Associate Investigator (AI)), Vered, M. (Associate Investigator (AI)), Rong, J. (Associate Investigator (AI)), George, Y. (Associate Investigator (AI)), Song, H. (Associate Investigator (AI)), Tafakori, L. (Associate Investigator (AI)), Sajjadi, S. (Associate Investigator (AI)), Pourkhanali, A. (Associate Investigator (AI)), Moradiamani, A. (Associate Investigator (AI)) & Kamoona, A. (Associate Investigator (AI))
1/01/23 → 31/12/27
Project: Research
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Google travel grant for Unveiling the Potential of Text in High-Dimensional Time Series Forecasting
Zhou, X. (Primary Chief Investigator (PCI)), Wang, T. (Supervisor), Bergmeir, C. (Supervisor) & Buntine, W. (Supervisor)
Google (United States of America)
8/11/24 → 8/01/25
Project: Research
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Real-time EH&S Intervention to Improve Site Safety (Scoping Study)
Delir Haghighi, P. (Primary Chief Investigator (PCI)), Ens, B. (Primary Chief Investigator (PCI)), Dwyer, T. (Chief Investigator (CI)), Tag, B. (Chief Investigator (CI)), Wang, T. (Chief Investigator (CI)) & Rezatofighi, H. (Chief Investigator (CI))
15/03/23 → 30/06/25
Project: Research
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CHIFRAUD: A Long-term Web Text Benchmark for Chinese Fraud Detection
Tang, M., Zou, L., Liang, S. N., Jin, Z., Wang, W. & Cui, S., 2025, COLING 2025, The 31st International Conference on Computational Linguistics, Proceedings of the Main Conference. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 5962-5974 13 p. (Proceedings - International Conference on Computational Linguistics, COLING; vol. Part F206484-1).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile2 Citations (Scopus) -
HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning
Ke, F., Cai, Z., Jahangard, S., Wang, W., Haghighi, P. D. & Rezatofighi, H., 2025, Computer Vision – ECCV 2024, 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part XX. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: Springer, p. 132-149 18 p. (Lecture Notes in Computer Science; vol. 15078).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
4 Citations (Scopus) -
OAEI-LLM: A Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
Qiang, Z., Taylor, K., Wang, W. & Jiang, J., 2025, Proceedings of the Special Session on Harmonising Generative AI and Semantic Web Technologies (HGAIS 2024). de Berardinis, J., Groth, P., Meroño Peñuela, A., Simperl, E. & Tamma, V. (eds.). Aachen Germany: CEUR-WS, Vol. 3953. 5 p. (CEUR Workshop Proceedings; vol. 3953).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
The Company You Keep: Refining Neural Epistemic Network Analysis
Fang, Z., Wang, W., Chen, G. & Swiecki, Z., 2025, The Fifteenth International Conference on Learning Analytics & Knowledge. Zamecnik, A., Kuvar, V. & Wong, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 216-226 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Agent-OM: Leveraging LLM Agents for Ontology Matching
Qiang, Z., Wang, W. & Taylor, K., Nov 2024, In: Proceedings of the VLDB Endowment. 18, 3, p. 516-529 14 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus)
Activities
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The 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (Event)
Wang, T. (Peer reviewer)
2018Activity: Publication peer-review and editorial work types › Peer review responsibility
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Australasian Database Conference 2018
Wang, W. (Invited speaker)
2018Activity: Participating in or organising an event types › Contribution to workshop, seminar, course
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Pacific-Asia Conference on Knowledge Discovery and Data Mining 2018
Wang, T. (Member of programme committee)
2018Activity: Participating in or organising an event types › Contribution to conference
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Database Systems for Advanced Applications 2018 (Event)
Wang, T. (Peer reviewer)
2018Activity: Publication peer-review and editorial work types › Peer review responsibility
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Journal of Computer Science and Technology (Journal)
Wang, T. (Peer reviewer)
2018 → …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