Dr Weitong Chen

Dr Weitong Chen
 Position Lecturer
 Org Unit Computer Science
 Email weitong.chen@adelaide.edu.au
 Telephone +61 8 8313 0676
 Location Floor/Room 4.45 ,  Ingkarni Wardli ,   North Terrace
  • Biography/ Background

    Dr Tony Weitong Chen is a lecturer at the University of Adelaide (UoA). Before moving to UoA, Tony spent two years at the University of Queensland, serving as Associated Lecturer and Post-Doc Research Fellow. Tony received the PhD degree from the University of Queensland (Australia) in 2020, the Master degree from the University of Queensland, and the Bachelor degree from Griffith University.  His current main research interests include Machine Learning and its applications to medical data. He has built strong collaboration links with experts in universities, industry, government and professional bodies. His research has been supported by several internal and external grants.

  • Qualifications

    Ph.D. of Computer Science

    The University of Queensland


    2017 - 2020

    Master of Computer Science

    The University of Queensland


    2011 - 2013

    Bachelor of Information System

    Griffith University


    2009 - 2011

  • Awards & Achievements

    2022  Best Poster AwardThe 34th Australasian Joint Conference on Artificial Intelligence Australia
    2021  Best Presentation Award17th International Conference on Advanced Data Mining and Applications Australia
    2021  Best Paper - Highly Commended AwardAustralasian Computer Science Week Multiconference New Zealand
    2019  Best Student Paper Award, 15th nternational Conference on Advanced Data Mining and Applications China
    2018  Student Travel GrantInternational Conference on Data Mining 2018 Singapore
    2016  Outstanding Service Award12th International Conference on Advanced Data Mining and Applications Australia
    2014  1st PlacePremier‘s Awards for Open Data Australia
    2014  1st PlaceMicrosoft Startup Q Award for Open Data Australia
  • Research Funding

    ·       UQ AI-ECR Research Fund - Principal Investigator 2022 - 2022 Better Sleep: Optimising OSA/NIV Patient Mask Fitting Utilising Transfer Learning (UQ & RBWH)

    ·       UQ AI-ECR Research Fund - Principal Investigator 2022 - 2022 Towards Positive Emotion: Artificial Intelligence-Based Expression Rephrasing (UQ) 

    ·       UQ Cyber Security Seed Fund - Principal Investigator 2022 - 2022 Collaborated Learning with Medical Data Making High-Stake Decision Without Information Leakage (UQ & RBWH) 

    ·       UQ AI Initiative - Investigator 2021 - 2022 AI Monitored ICU Illness Severity Prediction (UQ & RBWH)

    ·       ITEE Research Support Fund - Principal Investigator 2021 - 2021   Multi-Task Memory-Fused RNNs for Explainable Illness Severity Prediction (UQ)

  • Professional Interests

    Machine Learning    Weakly Supervised Learning, Deep Learning, Multi-task Learning, Collaborative Learning

    Data Analytics          Data Analytics, Medical Knowledge Graph Mining, Sentiment Analysis on Socia Media

  • Community Engagement

    Early to Mid-Career Researchers Representative at UQ

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Entry last updated: Saturday, 28 Jan 2023

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