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Email

yuansan.liu1@unimelb.edu.au

Credentials


Position
Research Fellow, Probabilistic Neural Modelling
School of Mathematics and Statistics
Education
Doctoral Degree (Research) / PhD
The University of Melbourne
ORCID

0000-0003-3990-662X

Dr Yuansan Liu

Research Fellow, Probabilistic Neural Modelling
School of Mathematics and Statistics

10 Scholarly works
0 Projects

HIGHLIGHTS

  • 2027

    Book Chapter

    Local Intrinsic Dimensionality of Ground Motion for Early Detection of Catastrophic Slope Failure
    DOI: 10.1007/978-3-032-37682-4_14
  • 2025

    Journal article

    Robust online drop detection for cochlear implant surgery
    DOI: 10.1007/s41060-025-00716-z
  • 2025

    Journal article

    Bidirectional adversarial autoencoders for high precision metasurface design
    DOI: 10.1063/5.0284338
  • 2025

    Conference Proceedings

    Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting
    DOI: 10.1145/3711896.3737137
  • 2025

    Conference Proceedings

    Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
    DOI: 10.1109/CBMS65348.2025.00195
  • 2024

    Thesis / Dissertation

    Probabilistic and Neural Modelling for Time Series Analysis
  • 2024

    Conference Proceedings

    Time-Transformer: Integrating Local and Global Features for Better Time Series Generation
    DOI: 10.1137/1.9781611978032.37
Yuansan Liu

RECENT SCHOLARLY WORKS

  • 2024

    Conference Proceedings

    Time Series Representation Learning with Supervised Contrastive Temporal Transformer
    DOI: 10.1109/IJCNN60899.2024.10650516
  • 2023

    Journal article

    Pandemic model with data-driven phase detection, a study using COVID-19 data
    DOI: 10.1080/01605682.2021.1982652
  • 2022

    Conference Proceedings

    De Novo Molecular Generation with Stacked Adversarial Model
    DOI: 10.1007/978-3-030-97546-3_12

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