Overview
Background
I am a research fellow in the School of Mathematics and Physics at the University of Queensland, Australia. I work with Professor Geoffrey J. McLachlan (Fellow of the Australian Academy of Science) on semi-supervised learning, specifically investigating missingness mechanisms and mixture modelling. I earned my PhD in 2022 from the Queensland University of Technology (QUT), under the joint supervision of Professor You-Gan Wang (biostatistician), Professor Kevin Burrage (applied mathematician), and Professor Yu-Chu Tian (computer scientist).
Following my doctoral studies, I was appointed as an Associate Lecturer at QUT, where I coordinated the course Modelling Dependent Data, covering topics such as time series analysis and longitudinal data modelling. I subsequently joined the Australian Catholic University as a Research Fellow, working with Professor Herbert W. Marsh (Fellow of the Academy of the Social Sciences in Australia and the British Academy of Social Sciences) on large-scale social survey data modelling, and also coordinated the course Interpreting Literature and Data.
My research focuses on machine learning and statistical modelling, with a particular emphasis on robust statistical methods and predictive analytics. I have published over 80 peer-reviewed papers in leading journals such as Pattern Recognition and several IEEE Transactions journals. My work has been cited over 1,450 times, and my current h-index is 22 (Google Scholar).
I currently serve as an Academic Editor for PLOS ONE and have guest-edited special issues for journals including Safety Science and Environmental Modelling & Assessment. I have acted as a frequent peer reviewer for over 50 leading journals, such as The New England Journal of Medicine and IEEE Transactions on Pattern Analysis and Machine Intelligence. Additionally, I have served as a grant reviewer for the German Academic Exchange Service.
I have served on program committees for major conferences such as the International Conference on Artificial Intelligence in Education and the Australasian Data Science and Machine Learning Conference. I actively engage in international research collaborations with scholars from leading institutions, including the University of Oxford (UK), the University of Munich (Germany), Michigan State University (US), and Xi’an Jiaotong University (China).
In 2022, I received the Chinese Government Award for Outstanding Self-Financed Students Abroad, a highly competitive distinction granted by the China Scholarship Council to acknowledge the top 500 Chinese scholars studying overseas.
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
2022
Journal Article
A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting
Zhao, Zixi, Wu, Jinran, Cai, Fengjing, Zhang, Shaotong and Wang, You-Gan (2022). A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting. Ecological Indicators, 144 109416, 1-16. doi: 10.1016/j.ecolind.2022.109416
2022
Journal Article
In situ observations of hydro-sediment dynamics on the abandoned Diaokou lobe of the Yellow River Delta: erosion mechanism and rate
Zhang, Shaotong, Zhang, Yaqi, Xu, Jishang, Guo, Lei, Li, Guangxue, Jia, Yonggang, Qiao, Lulu, Wu, Jinran, Wen, Mingzheng and Zhu, Chaoqi (2022). In situ observations of hydro-sediment dynamics on the abandoned Diaokou lobe of the Yellow River Delta: erosion mechanism and rate. Estuarine, Coastal and Shelf Science, 277 108065. doi: 10.1016/j.ecss.2022.108065
2022
Journal Article
Prediction of shear stress induced by shoaling internal solitary waves based on machine learning method
Tian, Zhuangcai, Liu, Hanlu, Zhang, Shaotong, Wu, Jinran and Tian, Jiahao (2022). Prediction of shear stress induced by shoaling internal solitary waves based on machine learning method. Marine Georesources & Geotechnology, 41 (2), 221-232. doi: 10.1080/1064119x.2022.2136045
2022
Journal Article
An effective dimensionality reduction approach for short-term load forecasting
Yang, Yang, Wang, Zijin, Gao, Yuchao, Wu, Jinran, Zhao, Shangrui and Ding, Zhe (2022). An effective dimensionality reduction approach for short-term load forecasting. Electric Power Systems Research, 210 108150. doi: 10.1016/j.epsr.2022.108150
2022
Journal Article
An optimal statistical regression model for predicting wave-induced equilibrium scour depth in sandy and silty seabeds beneath pipelines
Zhang, Yaqi, Wu, Jinran, Zhang, Shaotong, Li, Guangxue, Jeng, Dong-Sheng, Xu, Jishang, Tian, Zhuangcai and Xu, Xingyu (2022). An optimal statistical regression model for predicting wave-induced equilibrium scour depth in sandy and silty seabeds beneath pipelines. Ocean Engineering, 258 111709. doi: 10.1016/j.oceaneng.2022.111709
2022
Journal Article
Overseas warehouse deployment for cross-border e-commerce in the context of the belt and road initiative
Liu, Chanjuan, Wu, Jinran and Lakshika Jayetileke, Harshanie (2022). Overseas warehouse deployment for cross-border e-commerce in the context of the belt and road initiative. Sustainability, 14 (15) 9642, 9642. doi: 10.3390/su14159642
2022
Journal Article
An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems
Yang, Yang, Gao, Yuchao, Tan, Shuang, Zhao, Shangrui, Wu, Jinran, Gao, Shangce, Zhang, Tengfei, Tian, Yu-Chu and Wang, You-Gan (2022). An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. Engineering Applications of Artificial Intelligence, 113 104981, 1-14. doi: 10.1016/j.engappai.2022.104981
2022
Journal Article
A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment
Zhang, Shaotong, Wu, Jinran, Wang, You-Gan, Jeng, Dong-Sheng and Li, Guangxue (2022). A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment. Water Research, 218 118518, 1-16. doi: 10.1016/j.watres.2022.118518
2022
Journal Article
An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning
Yang, Yang, Qian, Chen, Li, Haomiao, Gao, Yuchao, Wu, Jinran, Liu, Chan-Juan and Zhao, Shangrui (2022). An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning. The Journal of Supercomputing, 78 (18), 19566-19604. doi: 10.1007/s11227-022-04634-w
2022
Journal Article
Optimal battery capacity in electrical load scheduling
Duan, Qibin, Wu, Jinran and Wang, You-Gan (2022). Optimal battery capacity in electrical load scheduling. Journal of Energy Storage, 50 104190, 1-9. doi: 10.1016/j.est.2022.104190
2022
Journal Article
Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting
Yang, Yang, Zhou, Hu, Wu, Jinran, Ding, Zhe and Wang, You-Gan (2022). Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting. Applied Soft Computing, 122 108814. doi: 10.1016/j.asoc.2022.108814
2022
Journal Article
Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems
Yang, Yang, Xi, Xiaorui, Miao, Songtao and Wu, Jinran (2022). Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems. Applied Mathematics and Computation, 418 126817. doi: 10.1016/j.amc.2021.126817
2022
Journal Article
A modified memetic algorithm with an application to gene selection in a sheep body weight study
Miao, Maoxuan, Wu, Jinran, Cai, Fengjing and Wang, You-Gan (2022). A modified memetic algorithm with an application to gene selection in a sheep body weight study. Animals, 12 (2) 201, 1-15. doi: 10.3390/ani12020201
2021
Conference Publication
Improve Exploration of Arithmetic Optimization Algorithm by Opposition-based Learning
Lin, Xia, Li, Haomiao, Jiang, Xin, Gao, Yuchao, Wu, Jinran and Yang, Yang (2021). Improve Exploration of Arithmetic Optimization Algorithm by Opposition-based Learning. 2021 IEEE International Conference on Progress in Informatics and Computing (PIC), Shanghai, China, 17-19 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/pic53636.2021.9687010
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
Supervision
Availability
- Dr Jinran Wu is:
- Available for supervision
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