• The University of Western Australia (M002), 35 Stirling Highway,

    6009 Perth

    Australia

  • 606 Citations
  • 12 h-Index
20012023
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Personal profile

Biography

Dr Liu received her PhD from the University of Newcastle, Australia in 2003. She is now a full time teaching & research academic in the Department of Computer Science and Software Engineering at the University of Western Australia. Her research focuses on knowledge discovery from natural language text,  deep learning methods for knowledge graph construction and analysis, as well as sequential data mining and forecasting in traffic and water consumption domain. She has published in highly reputable venues such as ACM Computer Surveys, Journal of Data Mining and Knowledge Discovery, Knowledge and Information Systems, International Conference on Data Engineering (ICDE), ACM International Conference on Information and Knowledge Management (CIKM). She has won three Australian Research Council Grants and managed several industry grants. Her current industry-related research projects include knowledge graph refinement for geological survey reports, incident log analysis and visualisation, short-term traffic predication and cognitive computing for asset management.  

Keywords

  • Ontology learning
  • Text mining
  • Web services
  • The semantic web
  • Smart home
  • Agent-oriented software engineering
  • Trust in service-oriented environment
  • Truth maintenance and belief revision

Fingerprint Dive into the research topics where Wei Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Classifiers Engineering & Materials Science
Ontology Engineering & Materials Science
Smart meters Engineering & Materials Science
Data mining Engineering & Materials Science
Semantics Engineering & Materials Science
Knowledge Discovery Mathematics
Terminology Engineering & Materials Science
Web services Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2001 2019

Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification

Bartley, C. W., Liu, W. & Reynolds, M., 28 Jan 2019, 33rd AAAI Conference on Artificial Intelligence (AAAI 2019).

Research output: Chapter in Book/Conference paperConference paper

GeoDocA – Fast analysis of geological content in mineral exploration reports: A text mining approach

Holden, E. J., Liu, W., Horrocks, T., Wang, R., Wedge, D., Duuring, P. & Beardsmore, T., 1 Aug 2019, In : Ore Geology Reviews. 111, 102919.

Research output: Contribution to journalArticle

Mineral exploration
mineral exploration
Minerals
repository
mineral

An incremental anytime algorithm for mining T-patterns from event streams

Johnson, K. & Liu, W., 1 Jan 2018, Data Mining - 15th Australasian Conference, AusDM 2017, Revised Selected Papers. Stirling, D., Boo, Y. L., Chi, L., Ong, K-L., Liu, L. & Williams, G. (eds.). Springer-Verlag Wien, p. 144-157 14 p. (Communications in Computer and Information Science; vol. 845).

Research output: Chapter in Book/Conference paperConference paper

Incremental Algorithm
Mining
Time delay
DNA sequences
Animals
1 Citation (Scopus)

A novel framework for constructing partially monotone rule ensembles

Bartley, C., Liu, W. & Reynolds, M., 24 Oct 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1324-1327 4 p. 8509361

Research output: Chapter in Book/Conference paperConference paper

Classifiers
Learning systems
Cones
Tumors
Experiments
3 Citations (Scopus)

Detection and interpretation of anomalous water use for non-residential customers

Patabendige, S., Cardell-Oliver, R., Wang, R. & Liu, W., 1 Feb 2018, In : Environmental Modelling and Software. 100, p. 291-301 11 p.

Research output: Contribution to journalArticle

water use
anomaly
Water
Water meters
Smart meters

Projects 2004 2023