Professor Weiru Liu

PhD (Edinburgh Univ.)
BSc, MSc (both Jilin Univ.)

Email: w.liu(at)qub(dot)ac(dot)uk
Tel: +44 (0)28 9097 4896




Publications | Projects | Professional Activities | Brief CV

  • Some current/recent professional activities (full list see Professional Activities)

  • Member of EPSRC College 2006--

  • Conference/Program Chair of the Eleventh European Conference on Symbolic and Quantitative Approaches to Reasoning under Uncertainty (ECSQARU'11). June 29the - July 1st, 2011. Belfast, Northern Ireland, UK.

  • Invited keynote Speaker at the Tenth Mexican International Conference on Artificial Intelligence, November 26th - December 4th, 2011. Puebla, Mexico.

  • Member of the Ecsqaru Permanent Committee (ecsqaru.org)

  • Member of the Steering Committee of Belief Functions Series (BELIEF)

  • PC member: AAAI'11(tutorial), DALI'10, LORI'11, SUM'11, UAI'11, UR'11.

  • Research Interests

    • New: Paper Analyzing the degree of conflict among belief functions (by Weiru Liu) is ranked the 6th among the Top 10 Cited articles published in the past five years in AIJ (March 8 2011).

    1. Theories of Reasoning under Uncertainty, Uncertain Information Fusion, Conflict Analysis:
    This research is concerned with modelling and merging uncertain information in any intelligent systems. We particularly focus on the Dempster-Shafer theory of Evidence (belief function theory), possibility theory and possibilistic logic, and probability theory. We research into the appropriateness of modelling uncertain information using these formalisms, aggregation approaches offered by them, as well as conflict/inconsistency analysis among multiple piece of uncertain information within these theories.

    2. Theoretical aspects of Merging/Revising Uncertain/Inconsistent Knowledgebases:
    Our research includes developing fusion methods (merging operators) and algorithms for merging multiple knowledgebases (maybe with constrains), especially, possibilistic knowledgebases, stratified knowledgebases, imprecise probabilistic logic based knowledge bases, and heterogeneous uncertain information. We are also interested in developing revision strategies/operators for revising above mentioned knowledge/belief bases.

    3. Applications with our theoretical studies:
    Numeric-based combination approaches to sensor data fusion in general, multiple uncertain events fusion in surveillance, uncertain activities fusion in smart homes, combination of normal distributions with missing data in clinical trials, and the combination of uncertain mappings from multiple ontology mapping algorithms etc.
    Logic-based merging approaches to inconsistent requirements fusion in requirements engineering, inconsistency handling in description logic through merging and revision, modelling and merging XML documents with uncertain information, and merging and revision of imprecise probabilistic knowledge for substrates prediction.

  • Current Main Projects (full list see Projects)

    • Queen's (EPSRC) Impact Award: 2011

    Reasoning with Uncertainty and Inconsistency in Structured Scientific Knowledge (EPSRC 2007-2010).

    Approaches to Merging/Revising Prioritized knowledge and their Applications to Multiple Viewpoints based Requirements Engineering (Royal Society and Chinese Academy of Sciences 2009-2011).

    CSIT: Centre for Secure Information Technologies (EPSRC 2009-2014).

    CSIT: Centre for Secure Information Technologies (EPSRC 2010-2014).