Mr Jinran Wu
PhD Student
Queensland University of Technology
I am a PhD student working on statistical machine learning and optimization with applications. In the theoritical field, I am interested in incorporating statistical modelling in machine learning and developing some robust machine learning frameworks. In practice areas, I focus on the forecasting applications of statistical modelling and machine learning in engineeringm business, and bioinformatics.
Research Interests:
Forecasting
Parameter estimation
Robust regression
Prizes, awards and special recognition
2020
QUT SEF High Achiever Award was awarded to Jinran Wu. Awarded from the Science and Engineering Faculty, QUT.
Publications
Invited talks, refereed proceedings and other conference outputs
Zhang, B., Yang Y., Zhao D., & Wu J.
(2020). A robust decomposition-ensemble framework for wind speed forecasting.
2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV). 1 - 4. doi: 10.1109/ICARCV50220.2020,10.1109/ICARCV50220.2020.9305351
Wu, J., & Ding Z.
(2020). Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting.
International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems . 12144, 199 - 209. doi: 10.1007/978-3-030-55789-8_18
Cui, Z., Hou X., Zhou H., Lian W., & Wu J.
(2020). Modified Slime Mould Algorithm via Levy Flight.
2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). 1109 - 1113. doi: 10.1109/CISP-BMEI51763.2020.9263669
Journal Articles
Xu, X., McGrory C. A., Wang Y-G., & Wu J.
(2021). Influential factors on Chinese airlines’ profitability and forecasting methods.
Journal of Air Transport Management . 91, doi: 10.1016/j.jairtraman.2020.101969
Cui, Z., Wu J., Ding Z., Duan Q., Lian W., Yang Y., et al.
(2021). A hybrid rolling grey framework for short time series modelling.
Neural Computing and Applications. doi: 10.1007/s00521-020-05658-0
Ouyang, Z., Zhai X., Wu J., Yang J., Yue D., Dou C., et al.
(2021). A Cloud Endpoint Coordinating CAPTCHA based on Multi-view Stacking Ensemble.
Computers & Security. doi: 10.1016/j.cose.2021.102178
Gao, S., Wu J., Stiller J., Zheng Z., Zhou M., Wang Y-G., et al.
(2020). Identifying barley pan-genome sequence anchors using genetic mapping and machine learning.
Theoretical and Applied Genetics. 133(9), 2535 - 2544. doi: 10.1007/s00122-020-03615-y
Wu, J., Wang Y-G., Burrage K., Tian Y-C., Lawson B., & Ding Z.
(2020). An improved firefly algorithm for global continuous optimization problems.
Expert Systems with Applications. 149, 113340. doi: 10.1016/j.eswa.2020.113340
Zhu, M., Wu J., & Wang Y‐G.
(2020). Multi‐horizon accommodation demand forecasting: A New Zealand case study.
International Journal of Tourism Research. doi: 10.1002/jtr.2416
Yang, Y., Ge J., Yue D., Meng Q., & Wu J.
(2020). Adaptive Resilient Control of a Class of Nonlinear Systems Based on Event-Triggered Mechanism.
Neurocomputing. 403, doi: 10.1016/j.neucom.2020.04.061
Wu, J., Cui Z., Chen Y., Kong D., & Wang Y-G.
(2019). A new hybrid model to predict the electrical load in five states of Australia.
Energy. 166, 598 - 609. doi: 10.1016/j.energy.2018.10.076
