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
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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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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Sense-ED: Developing mobile sensing and Natural Language Processing models to support the identification of, and interventional mechanisms for, eating disorder relapse
McNaney, R., Delir Haghighi, P., Mei Kuan, L., Phan, R., Chun Yong, C., Wang, T., Sharp, G. & Bell, B. T.
Monash University – Internal Faculty Contribution
19/08/21 → 31/08/22
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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ebabies: forecast and implications for society
Tsarenko, Y., Ma, J. & Wang, T.
1/07/20 → 28/02/21
Project: Research
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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
9 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
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Intention-oriented Hierarchical Bundle Recommendation with Preference Transfer
Tan, M., Chen, W., Wang, W., Liu, A. & Zhao, L., 2021, Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021. Chang, C. K., Damiani, E., Fan, J., Ghodous, P., Maximilien, M., Wang, Z., Ward, R. & Zhang, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 107-116 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Multiple features driven Author Name Disambiguation
Zhou, Q., Chen, W., Wang, W., Xu, J. & Zhao, L., 2021, Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021. Chang, C. K., Damiani, E., Fan, J., Ghodous, P., Maximilien, M., Wang, Z., Ward, R. & Zhang, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 506-515 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Cluster query: a new query pattern on temporal knowledge graph
Huang, J., Chen, W., Liu, A., Wang, W., Yin, H. & Zhao, L., 13 Feb 2020, In: World Wide Web. 23, 2, p. 755-779 25 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)
Teresa Wang (Peer reviewer)
2018Activity: Publication peer-review and editorial work types › Peer review responsibility
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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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Knowledge and Information Systems (Journal)
Teresa Wang (Peer reviewer)
2018 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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The 8th IEEE International Conference on Big Data and Cloud Computing
Teresa Wang (Chair/ Co-Chair)
2018Activity: External Academic Engagement › Peer review panel or committee
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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
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