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The ARC Training Centre for
Transforming Maintenance through Data Science
Wei Liu
People

A/Prof Wei Liu

Theme Lead

Assoc Prof Wei Liu is 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.

A/Prof Liu is a Chief Investigator for Theme 1 – Support the Maintainer. Wei supervisors PhD student Ziyu Zhao and Co Supervisors Tyler Bikaun and Chau Nguyen.

Research Gate

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  • Friday 1 December 2023
    This month's newsletter focuses on the activities in December IN THE SPOTLIGHT # Congratulations to Research Fellow Eden Li on winning the Innovation and Excellence in Research award in the Australian Business Deans Council ( abdc.edu.au ) for her Data Workflow Method. The panel was impressed with the strong engagement and collaboration...
  • Friday 30 June 2023
    This newsletter focuses on the activities of the Centre during May and June; a busy time for preparing and participating in the 26th World Mining Congress in Brisbane TEAM NEWS # BHP MECoE and CTMDS researchers from Perth that travelled to the World Mining Congress took the opportunity to catch up in...
  • Thursday 11 May 2023
    Welcome to the first newsletter for 2023! We ended 2022 with two events that showcased research across our themes to industry partners. The new year began with the arrival of two new post-doctoral researchers to the Centre. In May, they teamed up with a couple of PhD students to form a...
  • Wednesday 10 August 2022
    This month's newsletter focuses on the activities of Translation Theme 5. IN THE SPOTLIGHT # Congratulations to Eden Li and Mark Griffin for winning two awards for their conference paper at the World Building Congress 2022, organised by CIB, the International Council for Research and Innovation in Building and Construction ! Their...
  • Wednesday 29 June 2022
    This month's newsletter focuses on Research Theme 1 - Support the maintainer. IN THE SPOTLIGHT # Congratulations to Tyler Bikaun whose paper "QuickGraph: A Rapid Annotation Tool for Knowledge Graph Extraction from Technical Text" was accepted into the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, a top-ranking...
  • Wednesday 6 January 2021
    Welcome to an update on CTMTDS activities. Highlights # Research Fellow for Theme 1 Michael Stewart PhD was accepted, congratulations to Dr Michael Stewart. Chief investigator for Theme 1 Dr Wei Lui is now Associate Professor Wei Lui – congratulations Wei.· PhD Candidates Yingying Yang, Tyler Bikaun, and Ryan Leadbetter completed their first candidacy...
  • Tuesday 12 May 2020
    Welcome to an update on CTMTDS activities. Highlights # CTMTDS Launch # The Australian Research Council Training Centre for Transforming Maintenance through Data Science was officially launched at a ceremony held at Curtin University on Friday 21 February. The event, emceed by Prof Andrew Rohl, was attended by the Honourable Steve Irons MP,...
  • Friday 15 November 2019
    Congratulations to Dr Wei Liu and her team of Michael Stewart, Majiga Enkhsaikhan, Morgan Lewis and Tom Smoker for winning the first prize in the ICDM/ICBK Knowledge Graph Contest in Beijing on 11 November. What is the 2019 ICDM & ICBK Contest on Automatic Knowledge Graph Construction # Automatic knowledge graph construction...