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
2023
Journal Article
Mixture extreme learning machine algorithm for robust regression
Zhao, Shangrui, Chen, Xuan-Ang, Wu, Jinran and Wang, You-Gan (2023). Mixture extreme learning machine algorithm for robust regression. Knowledge-Based Systems, 280 111033, 1-12. doi: 10.1016/j.knosys.2023.111033
2023
Journal Article
Subaqueous silt ripples measured by an echo sounder: implications for bed roughness, bed shear stress and erosion threshold
Zhang, Shaotong, Zhao, Zixi, Nielsen, Peter, Wu, Jinran, Jia, Yonggang, Li, Guangxue and Li, Sanzhong (2023). Subaqueous silt ripples measured by an echo sounder: implications for bed roughness, bed shear stress and erosion threshold. Journal of Hydrology, 626 130354, 1-13. doi: 10.1016/j.jhydrol.2023.130354
2023
Journal Article
Enhancing feature selection optimization for COVID-19 microarray data
Krishanthi, Gayani, Jayetileke, Harshanie, Wu, Jinran, Liu, Chanjuan and Wang, You-Gan (2023). Enhancing feature selection optimization for COVID-19 microarray data. COVID, 3 (9), 1336-1355. doi: 10.3390/covid3090093
2023
Journal Article
Event-triggered output feedback control for a class of nonlinear systems via disturbance observer and adaptive dynamic programming
Yang, Yang, Fan, Xin, Gao, Weinan, Yue, Wenbin, Liu, Aaron, Geng, Shuocong and Wu, Jinran (2023). Event-triggered output feedback control for a class of nonlinear systems via disturbance observer and adaptive dynamic programming. IEEE Transactions on Fuzzy Systems, 31 (9), 3148-3160. doi: 10.1109/TFUZZ.2023.3245294
2023
Journal Article
Improved prediction of local significant wave height by considering the memory of past winds
Zhang, Shaotong, Yang, Zhen, Zhang, Yaqi, Zhao, Shangrui, Wu, Jinran, Wang, Chenghao, Wang, You‐Gan, Jeng, Dong‐Sheng, Nielsen, Peter, Li, Guangxue and Li, Sanzhong (2023). Improved prediction of local significant wave height by considering the memory of past winds. Water Resources Research, 59 (8) e2023WR034974, 1-17. doi: 10.1029/2023wr034974
2023
Journal Article
QL-ADIFA: Hybrid optimization using Q-learning and an adaptive logarithmic spiral-levy firefly algorithm
Tan, Shuang, Zhao, Shangrui and Wu, Jinran (2023). QL-ADIFA: Hybrid optimization using Q-learning and an adaptive logarithmic spiral-levy firefly algorithm. Mathematical Biosciences and Engineering, 20 (8), 13542-13561. doi: 10.3934/mbe.2023604
2023
Journal Article
Robust adaptive rescaled lncosh neural network regression toward time-series forecasting
Yang, Yang, Zhou, Hu, Wu, Jinran, Ding, Zhe, Tian, Yu-Chu, Yue, Dong and Wang, You-Gan (2023). Robust adaptive rescaled lncosh neural network regression toward time-series forecasting. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53 (9), 5658-5669. doi: 10.1109/tsmc.2023.3272880
2023
Journal Article
Iterative learning in support vector regression with heterogeneous variances
Wu, Jinran and Wang, You-Gan (2023). Iterative learning in support vector regression with heterogeneous variances. IEEE Transactions on Emerging Topics in Computational Intelligence, 7 (2), 513-522. doi: 10.1109/tetci.2022.3182725
2023
Journal Article
An evaluation of the impact of COVID-19 lockdowns on electricity demand
Wu, Jinran, Levi, Noa, Araujo, Robyn and Wang, You-Gan (2023). An evaluation of the impact of COVID-19 lockdowns on electricity demand. Electric Power Systems Research, 216 109015, 1-10. doi: 10.1016/j.epsr.2022.109015
2023
Journal Article
QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm
Zhao, Shangrui, Wu, Yulu, Tan, Shuang, Wu, Jinran, Cui, Zhesen and Wang, You-Gan (2023). QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm. Expert Systems with Applications, 213 (Part C) 119246, 119246. doi: 10.1016/j.eswa.2022.119246
2023
Journal Article
A novel deep learning model for mining nonlinear dynamics in lake surface water temperature prediction
Hao, Zihan, Li, Weide, Wu, Jinran, Zhang, Shaotong and Hu, Shujuan (2023). A novel deep learning model for mining nonlinear dynamics in lake surface water temperature prediction. Remote Sensing, 15 (4) 900, 1-19. doi: 10.3390/rs15040900
2023
Journal Article
Event-trigger-based fault-tolerant control of uncertain non-affine systems with predefined performance
Yang, Yang, Zhang, Yuwei, Wang, Zijin, Wu, Jinran and Si, Xuefeng (2023). Event-trigger-based fault-tolerant control of uncertain non-affine systems with predefined performance. International Journal of Control, Automation and Systems, 21 (2), 519-535. doi: 10.1007/s12555-021-1007-y
2023
Journal Article
A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic
Zhao, Zixi, Wu, Jinran, Cai, Fengjing, Zhang, Shaotong and Wang, You-Gan (2023). A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic. Scientific Reports, 13 (1) 1015, 1-17. doi: 10.1038/s41598-023-28287-8
2023
Journal Article
An integrated federated learning algorithm for short-term load forecasting
Yang, Yang, Wang, Zijin, Zhao, Shangrui and Wu, Jinran (2023). An integrated federated learning algorithm for short-term load forecasting. Electric Power Systems Research, 214 108830, 108830-214. doi: 10.1016/j.epsr.2022.108830
2023
Journal Article
A new algorithm for support vector regression with automatic selection of hyperparameters
Wang, You-Gan, Wu, Jinran, Hu, Zhi-Hua and McLachlan, Geoffrey J. (2023). A new algorithm for support vector regression with automatic selection of hyperparameters. Pattern Recognition, 133 108989, 1-9. doi: 10.1016/j.patcog.2022.108989
2023
Journal Article
A working likelihood approach to support vector regression with a data-driven insensitivity parameter
Wu, Jinran and Wang, You-Gan (2023). A working likelihood approach to support vector regression with a data-driven insensitivity parameter. International Journal of Machine Learning and Cybernetics, 14 (3), 929-945. doi: 10.1007/s13042-022-01672-x
2022
Journal Article
An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting
Zhao, Shangrui, Wu, Qingyue, Zhang, Yueyi, Wu, Jinran and Li, Xi-An (2022). An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting. Expert Systems with Applications, 210 118467, 118467-210. doi: 10.1016/j.eswa.2022.118467
2022
Journal Article
Solving a Class of High-Order Elliptic PDEs Using Deep Neural Networks Based on Its Coupled Scheme
Li, Xi’an, Wu, Jinran, Zhang, Lei and Tai, Xin (2022). Solving a Class of High-Order Elliptic PDEs Using Deep Neural Networks Based on Its Coupled Scheme. Mathematics, 10 (22), 4186. doi: 10.3390/math10224186
2022
Journal Article
An effective distance-based centrality approach for exploring the centrality of maritime shipping network
Kuang, Zengjie, Liu, Chanjuan, Wu, Jinran and Wang, You-Gan (2022). An effective distance-based centrality approach for exploring the centrality of maritime shipping network. Heliyon, 8 (11) e11474, 1-12. doi: 10.1016/j.heliyon.2022.e11474
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
Supervision
Availability
- Dr Jinran Wu is:
- Available for supervision
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