Research output per year
Research output per year
Personal profile
Biography
A/Prof Qing Wang joined the Research School of Computer Science in April 2012. She leads the Graph Research Lab at ANU: https://graphlabanu.github.io/website/.
Education
A/Prof Qing Wang received her Ph.D. (Dr.rer.nat.) in Computer Science (Summa Cum Laude) from Christian-Albrechts-University Kiel, Germany, in 2010.
Fellowships, grants & awards
A/Prof Qing Wang is a Fellow of the Higher Education Academy (HEA) since December 2015 and obtained ANU Dean's Award for Teaching Excellence in 2015. She received the ANU Vice-Chancellor's Teaching Enhancement Grant to lead the project "DataAnalytics-Bench: Personalised Learning in Large Classes" during 2017-2019. She is a chief investigator in the ARC Discovery Projects "Deep Learning for Graph Isomorphism: Theories and Applications" with Prof. Brendan McKay, 2021-2024 and "Creating the social genome: Advanced techniques for linking dynamic data" together with Prof. Peter Christen and Prof. Erhard Rahm, 2016-2018, and a co-investigator in the project "Advancing data integration: Privacy and semantics for record linkage" funded under the 2015-2016 Australia-Germany Joint Research Cooperation Scheme. She has won Excellence Grant by the Governor of Upper-Austria, Austria, 2013, Research Grant for Doctoral Candidates and Young Scientists and Academics, German Academic Exchange Service (DAAD), Germany, 2010, Bright Futures Top Achiever Doctoral Scholarship, Tertiary Education Commission, New Zealand, 2006-2009, Todd Foundation Award for Excellence, New Zealand, 2005.
Qualifications
Ph.D. (Dr.rer.nat.)
Research Interests
A/Prof Qing Wang has broad interests in data management and data science. Her current research focus is on graph algorithms and machine learning on graphs, i.e., to explore novel connections between graph theory and machine learning, e.g., examining how traditional graph-theoretic algorithms can be leveraged to analyse and design machine learning techniques for solving graph learning problems; developing machine learning techniques that can help the design of graph-theoretic algorithms for solving traditionally hard problems in graph theory.
Research student supervision
- Registered to supervise
Fingerprint
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Collaborations and top research areas from the last five years
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dK-Personalization: Publishing Network Statistics with Personalized Differential Privacy
Iftikhar, M., Wang, Q. & Li, Y., 2022, Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Proceedings. Gama, J., Li, T., Yu, Y., Chen, E., Zheng, Y. & Teng, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 194-207 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13280 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Citations (Scopus) -
Fast fully dynamic labelling for distance queries
Farhan, M., Wang, Q., Lin, Y. & McKay, B., May 2022, In: VLDB Journal. 31, 3, p. 483-506 24 p.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
A Regularized Wasserstein Framework for Graph Kernels
Wijesinghe, A., Wang, Q. & Gould, S., 2021, Proceedings - 21st IEEE International Conference on Data Mining, ICDM 2021. Bailey, J., Miettinen, P., Koh, Y. S., Tao, D. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 739-748 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2021-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Citation (Scopus) -
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
Li, S., Kim, D. & Wang, Q., 2021, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Proceedings. Oliver, N., Pérez-Cruz, F., Kramer, S., Read, J. & Lozano, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 450-465 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12976 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access16 Citations (Scopus) -
dK-Projection: Publishing Graph Joint Degree Distribution with Node Differential Privacy
Iftikhar, M. & Wang, Q., 2021, Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Proceedings. Karlapalem, K., Cheng, H., Ramakrishnan, N., Agrawal, R. K., Reddy, P. K., Srivastava, J. & Chakraborty, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 358-370 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12713 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus)
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Next Generation Graduates Program - AI Enabled Advanced Materials Technology
Birbilis, N., Barnard, A., Barnes, N., Li, H., Suominen, H., Wang, Q. & Zheng, L.
1/07/22 → 8/06/28
Project: Research
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Creating the social genome: Advanced techniques for linking dynamic data
Christen, P., Rahm, E. & Wang, Q.
1/04/16 → 31/12/20
Project: Research
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Advancing data integration: Privacy and semantics for record linkage
Christen, P., Fisher, J., Vatsalan, D. & Wang, Q.
1/01/16 → 3/12/19
Project: Research