Projects per year
Personal profile
Biography
Dr. Teresa Weiqing Wang is currently a lecturer 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 is the director of Master of Data Science Program and also serves as the Lecturer and Chief Examiner for the following unit in the Faculty of IT:
- FIT5201 Data Analysis Algorithm
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., 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
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CSIRO Data61 Next Generation Graduates Programs: AI in Mental Health
McNaney, R., Olivier, P., Yap, M., Cai, J., Wu, L., Watterson, J., Haffari, R., Qu, L., Wilson Rajaratnam, S., Wang, T., Sharp, G., Alvarez-Jimenez, M., D'Alfonso, S. & Kostakos, V.
Monash University – Internal Department Contribution
5/04/23 → 31/12/27
Project: Research
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Real-time EH&S Intervention to Improve Site Safety (Scoping Study)
Delir Haghighi, P., Ens, B., Dwyer, T., Tag, B., Wang, T. & Rezatofighi, H.
15/03/23 → 14/03/25
Project: Research
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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
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AI-powered Monitoring and Prediction to Improve Site Safety
Ke, F., Delir Haghighi, P., Ens, B. & Wang, T.
1/08/22 → 1/08/25
Project: Research
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Providing digital health support for the Virtual Hospital
Tan, W., Wang, T., Buntine, W., Tong, E., Bingham, G., Enticott, J., Teede, H. & Bain, C.
2/12/21 → 2/12/24
Project: Research
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HFUL: A Hybrid Framework for User Account Linkage across Location-Aware Social Networks
Chen, W., Wang, W., Yin, H., Zhao, L. & Zhou, X., Jan 2023, In: VLDB Journal. 32, 22 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
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, p. 1-8 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus) -
Social boosted recommendation with folded bipartite network embedding
Chen, H., Yin, H., Chen, T., Wang, W., Li, X. & Hu, X., 1 Feb 2022, In: IEEE Transactions on Knowledge and Data Engineering. 34, 2, p. 914-926 13 p.Research output: Contribution to journal › Article › Research › peer-review
12 Citations (Scopus) -
A graph embedding based model for fine-grained POI recommendation
Hu, X., Xu, J., Wang, W., Li, Z. & Liu, A., 7 Mar 2021, In: Neurocomputing. 428, p. 376-384 9 p.Research output: Contribution to journal › Article › Research › peer-review
20 Citations (Scopus) -
EEUPL: Towards effective and efficient user profile linkage across multiple social platforms
Wang, M., Wang, W., Chen, W. & Zhao, L., 12 Jun 2021, In: World Wide Web. 24, p. 1731-1748 18 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus)
Activities
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ACM International Conference on Research and Development in Information Retrieval 2018
Teresa Wang (Member of programme committee)
2018Activity: Participating in or organising an event types › Contribution to conference
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Pacific-Asia Conference on Knowledge Discovery and Data Mining 2018
Teresa Wang (Member of programme committee)
2018Activity: Participating in or organising an event types › Contribution to conference
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IEEE International Conference on Data Mining 2018 (Event)
Teresa Wang (Peer reviewer)
2018Activity: Publication peer-review and editorial work types › Peer review responsibility
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Database Systems for Advanced Applications 2018 (Event)
Teresa Wang (Peer reviewer)
2018Activity: Publication peer-review and editorial work types › Peer review responsibility
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The 3rd International Conference on Big Data Computing and Communications (Event)
Teresa Wang (Peer reviewer)
2018Activity: 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