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 level. Dive into details by clicking on the dots or
Projects
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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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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.
The Defence Science and Technology Group
4/12/19 → 28/08/20
Project: Research
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Research output
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A graph embedding based model for fine-grained POI recommendation
Hu, X., Xu, J., Wang, W., Li, Z. & Liu, A., 29 Jul 2020, (Accepted/In press) In : Neurocomputing. 9 p.Research output: Contribution to journal › Article › 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
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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
1 Citation (Scopus) -
Learning transferrable parameters for long-tailed sequential user behavior modeling
Yin, J., Liu, C., Wang, W., Sun, J. & Hoi, S. C. H., 2020, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Tang, J. & Aditya Prakash, B. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 359-367 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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MedGraph: structural and temporal representation learning of electronic medical records
Hettige, B., Wang, W., Li, Y-F., Le, S. & Buntine, W., 24 Aug 2020, ECAI Digital - 2020: 24th European Conference on Artificial Intelligence . De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarín, A. & Lang, J. (eds.). Amsterdam Netherlands: IOS Press, p. 1810-1817 8 p. 555. (Frontiers in Artificial Intelligence and Applications; vol. 325).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile
Activities
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ACM International Conference on Research and Development in Information Retrieval 2018 (Event)
Teresa Wang (Peer reviewer)
2018Activity: Publication peer-review and editorial work types › Peer review responsibility
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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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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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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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Journal of Computer Science and Technology (Journal)
Teresa Wang (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
Bhagya Hettige, Teresa Wang, Yuan-Fang Li & Wray Buntine
11/05/20
1 item of Media coverage
Press/Media: Article/Feature