Dr Jinran (Ryan) Wu

Research Fellow, Institute for Positive Psychology and Education

Jinran (Ryan) Wu

Areas of expertise: Statistical modelling; machine learning; optimisation; forecasting

HDR Supervisor accreditation status: Provisional

ORCID ID: 0000-0002-2388-3614

Email: Ryan.wu@acu.edu.au

Location: ACU Brisbane Campus

Dr. Jinran Wu received the PhD degree in statistics from Queensland University of Technology (QUT), Brisbane QLD, Australia, in 2022. He is currently a research fellow at the Institute for Positive Psychology and Education, Australian Catholic University, before he was an associate lecturer at the School of Mathematical Sciences, QUT. He is interested in statistical machine learning and optimizations with applications. Now he is just being a statistician in education data analysis and modelling.

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Select publications

  • Wu, Jinran, and You-Gan Wang. "Iterative learning in support vector regression with heterogeneous variances." IEEE Transactions on Emerging Topics in Computational Intelligence (2022).
  • Wang, You-Gan, Jinran Wu, Zhi-Hua Hu, and Geoffrey J. McLachlan. "A new algorithm for support vector regression with automatic selection of hyperparameters." Pattern Recognition 133 (2023): 108989.
  • Wu, Jinran, and You-Gan Wang. "A working likelihood approach to support vector regression with a data-driven insensitivity parameter." International Journal of Machine Learning and Cybernetics (2022): 1-17.
  • Wu, Jinran, Noa Levi, Robyn Araujo, and You-Gan Wang. "An evaluation of the impact of COVID-19 lockdowns on electricity demand." Electric Power Systems Research (2022): 109015.
  • VandenHeuvel, Daniel, Jinran Wu, and You-Gan Wang. " Robust regression for electricity demand forecasting against cyberattacks." International Journal of Forecasting (2022).

International reviewed journal articles

  • Journal of Hospitality and Tourism Research
  • Environmental Modeling and Assessment
  • Expert Systems with Applications
  • Applied Mathematical Modelling
  • Journal of Ambient Intelligence and Humanized Computing
  • Scientific Reports
  • Artificial Intelligence Review
  • IEEE Transactions on Systems, Man, and Cybernetics: Systems
  • Journal of Computational Social Science
  • Neural Processing Letters
  • Transport Policy
  • Ocean & Coastal Management

Editorials

  • Review Editor, Editorial Board of Machine Learning and Artificial Intelligence (specialty section of Frontiers in Big Data and Frontiers in Artificial Intelligence), July 2022
  • Guest Editor, the Special Issue on ''Machine Learning in Smart Grid Systems'' of Electronics, December 2022

Accolades and awards

  • The China Scholarship Council, Ministry of Education, the Chinese Government Award for Outstanding Self-financed Students Abroad, 2022
  • Queensland University of Technology, QUT Science and Engineering Faculty's High Achiever Award, 2020

Appointments and affiliations

Appointments

  • Research Fellow, Institute for Learning Sciences & Teacher Education, Australian Catholic University, December 2022-
  • Associate Lecturer, School of Mathematical Sciences, Queensland University of Technology, July 2022-Novermber 2022
  • Research Assistant, School of Mathematical Sciences, Queensland University of Technology, July 2021-Novermber 2021
  • Research Assistant, UQ Business School, The University of Queensland, June 2018-December 2018

Affiliations

  • the Statistical Society of Australia (SSA)

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