Overview
Background
I am a research fellow working with Professor Geoffrey J. McLachlan on semi-supervised learning, specifically investigating missingness mechanisms and mixture modelling.
Availability
- Dr Jinran Wu is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Statistics, Queensland University of Technology
Works
Search Professor Jinran Wu’s works on UQ eSpace
2021
Journal Article
Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam
Liu, Chan-Juan, Wu, Jinran, Jayetileke, Harshanie Lakshika and Hu, Zhi-Hua (2021). Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam. Applied Sciences, 11 (21), 10378-21. doi: 10.3390/app112110378
2021
Journal Article
State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach
Yang, Yang, Fan, Xin, Xu, Chuang, Wu, Jinran and Sun, Baohua (2021). State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach. Neurocomputing, 458, 284-296. doi: 10.1016/j.neucom.2021.05.046
2021
Journal Article
Robust penalized extreme learning machine regression with applications in wind speed forecasting
Yang, Yang, Zhou, Hu, Gao, Yuchao, Wu, Jinran, Wang, You-Gan and Fu, Liya (2021). Robust penalized extreme learning machine regression with applications in wind speed forecasting. Neural Computing and Applications, 34 (1), 391-407. doi: 10.1007/s00521-021-06370-3
2021
Journal Article
A hybrid robust system considering outliers for electric load series forecasting
Yang, Yang, Tao, Zhenghang, Qian, Chen, Gao, Yuchao, Zhou, Hu, Ding, Zhe and Wu, Jinran (2021). A hybrid robust system considering outliers for electric load series forecasting. Applied Intelligence, 52 (2), 1630-1652. doi: 10.1007/s10489-021-02473-5
2021
Journal Article
Support vector regression with asymmetric loss for optimal electric load forecasting
Wu, Jinran, Wang, You-Gan, Tian, Yu-Chu, Burrage, Kevin and Cao, Taoyun (2021). Support vector regression with asymmetric loss for optimal electric load forecasting. Energy, 223 119969, 1-12. doi: 10.1016/j.energy.2021.119969
2021
Journal Article
A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble
Ouyang, Zhiyou, Zhai, Xu, Wu, Jinran, Yang, Jian, Yue, Dong, Dou, Chunxia and Zhang, Tengfei (2021). A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble. Computers & Security, 103 102178, 1-17. doi: 10.1016/j.cose.2021.102178
2021
Journal Article
A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability
Zhang, Shaotong, Wu, Jinran, Jia, Yonggang, Wang, You-Gan, Zhang, Yaqi and Duan, Qibin (2021). A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability. Engineering Applications of Artificial Intelligence, 100 104206, 1-13. doi: 10.1016/j.engappai.2021.104206
2021
Journal Article
Influential factors on Chinese airlines’ profitability and forecasting methods
Xu, Xu, McGrory, Clare Anne, Wang, You-Gan and Wu, Jinran (2021). Influential factors on Chinese airlines’ profitability and forecasting methods. Journal of Air Transport Management, 91 101969, 1-8. doi: 10.1016/j.jairtraman.2020.101969
2021
Journal Article
A hybrid rolling grey framework for short time series modelling
Cui, Zhesen, Wu, Jinran, Ding, Zhe, Duan, Qibin, Lian, Wei, Yang, Yang and Cao, Taoyun (2021). A hybrid rolling grey framework for short time series modelling. Neural Computing and Applications, 33 (17), 11339-11353. doi: 10.1007/s00521-020-05658-0
2020
Conference Publication
Improved Whale Optimization Algorithm via Cellular Automata
Gao, Yuchao, Qian, Cheng, Tao, Zhenghang, Zhou, Hu, Wu, Jinran and Yang, Yang (2020). Improved Whale Optimization Algorithm via Cellular Automata. 2020 IEEE International Conference on Progress in Informatics and Computing (PIC), Shanghai, China, 18-20 December 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/pic50277.2020.9350796
2020
Conference Publication
A robust decomposition-ensemble framework for wind speed forecasting
Zhang, Bingquan, Yang, Yang, Zhao, Dengli and Wu, Jinran (2020). A robust decomposition-ensemble framework for wind speed forecasting. 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Shenzhen, China, 13-15 December 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icarcv50220.2020.9305351
2020
Conference Publication
Modified Slime Mould Algorithm via Levy Flight
Cui, Zhesen, Hou, Xiaolei, Zhou, Hu, Lian, Wei and Wu, Jinran (2020). Modified Slime Mould Algorithm via Levy Flight. 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Chengdu, China, 17-19 October 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cisp-bmei51763.2020.9263669
2020
Journal Article
Multi-horizon accommodation demand forecasting: a New Zealand case study
Zhu, Min, Wu, Jinran and Wang, You-Gan (2020). Multi-horizon accommodation demand forecasting: a New Zealand case study. International Journal of Tourism Research, 23 (3), 442-453. doi: 10.1002/jtr.2416
2020
Journal Article
Identifying barley pan-genome sequence anchors using genetic mapping and machine learning
Gao, Shang, Wu, Jinran, Stiller, Jiri, Zheng, Zhi, Zhou, Meixue, Wang, You-Gan and Liu, Chunji (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
2020
Journal Article
Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism
Yang, Yang, Ge, Jingzhi, Yue, Dong, Meng, Qing and Wu, Jinran (2020). Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism. Neurocomputing, 403, 304-313. doi: 10.1016/j.neucom.2020.04.061
2020
Journal Article
An improved firefly algorithm for global continuous optimization problems
Wu, Jinran, Wang, You-Gan, Burrage, Kevin, Tian, Yu-Chu, Lawson, Brodie and Ding, Zhe (2020). An improved firefly algorithm for global continuous optimization problems. Expert Systems with Applications, 149 113340, 1-12. doi: 10.1016/j.eswa.2020.113340
2020
Book Chapter
Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting
Wu, Jinran and Ding, Zhe (2020). Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting. Lecture Notes in Computer Science. (pp. 199-209) Cham: Springer International Publishing. doi: 10.1007/978-3-030-55789-8_18
2019
Journal Article
A new hybrid model to predict the electrical load in five states of Australia
Wu, Jinran, Cui, Zhesen, Chen, Yanyan, Kong, Demeng and Wang, You-Gan (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
2017
Journal Article
A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting
Li, Weide, Kong, Demeng and Wu, Jinran (2017). A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting. Energies, 10 (5) 694, 1-16. doi: 10.3390/en10050694
2017
Journal Article
A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China
Li, Weide, Kong, Demeng and Wu, Jinran (2017). A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China. Computational Intelligence and Neuroscience, 2017 2843651, 1-11. doi: 10.1155/2017/2843651
Supervision
Availability
- Dr Jinran Wu is:
- Available for supervision
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