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Email

liuhua.peng@unimelb.edu.au

Credentials


Position
Senior Lecturer in Statistics
School of Mathematics and Statistics
Education
PhD
Iowa State University
ORCID

0000-0002-5431-8079

Dr Liuhua Peng

Senior Lecturer in Statistics
School of Mathematics and Statistics

36 Scholarly works
7 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Conformalized robust principal component analysis
    DOI: 10.1007/s11222-026-10940-7
  • 2026

    Journal article

    Regularized maximum mean discrepancy for variable importance measure
    DOI: 10.1007/s11222-026-10927-4
  • 2026

    Journal article

    Enhanced Localized Conformal Prediction with Imperfect Auxiliary Information
    DOI: 10.1080/01621459.2026.2687844
  • 2026

    Journal article

    Unified Attention Recurrent Neural Network for Bias Correction of MJO Prediction
    DOI: 10.1029/2025MS005359
  • 2025

    Research grants (other domestic)

    Optimising Predictive Analytics for Water Consumption Across Time and Space
  • 2025

    Research grants (ARC, NHMRC, MRFF)

    Optimising Predictive Analytics for Water Consumption Across Time and Space
  • 2023

    Research Contracts

    Continuous Monitoring of Sheep Shearers for Injury Prevention and Productivity Improvement
Liuhua Peng

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    Time-varying tails and the tail risk premium
    DOI: 10.1016/j.econmod.2026.107551
  • 2026

    Journal article

    Modelling microplastic fibre emissions from synthetic textiles: An Australian case
    DOI: 10.1016/j.jhazmat.2025.140713
  • 2026

    Journal article

    Quantifying Manual Adjustment of Foot Placement Under a Fixed Robotic Trajectory in Lower Limb Exoskeletons
    DOI: 10.1109/THMS.2025.3634377
  • 2026

    Journal article

    Kernel Variable Importance Measure with Applications
    DOI: 10.1080/10618600.2026.2654770
  • 2026

    Journal article

    Adapformer: Adaptive channel management for multivariate time series forecasting
    DOI: 10.1016/j.neunet.2025.107988
  • 2025

    Journal article

    Multiple Sclerosis Classification Using the Local Divergence Exponent: Parameters Selection for State-Space Reconstruction
    DOI: 10.3390/s25092819

RECENT PROJECTS

  • 2025

    Research grants (ARC, NHMRC, MRFF)

    Optimising Predictive Analytics for Water Consumption Across Time and Space
  • 2026

    Research grants (other domestic)

    Artificial Intelligence-Driven, Context-Aware Wearables for Falls Prevention in the Real World

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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