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
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
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
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
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
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
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, 1-10. 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
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, 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
2022
Journal Article
A novel decompose-cluster-feedback algorithm for load forecasting with hierarchical structure
Yang, Yang, Zhou, Hu, Wu, Jinran, Liu, Chan-Juan and Wang, You-Gan (2022). A novel decompose-cluster-feedback algorithm for load forecasting with hierarchical structure. International Journal of Electrical Power and Energy Systems, 142 (Part A) 108249, 1-14. doi: 10.1016/j.ijepes.2022.108249
Supervision
Availability
- Dr Jinran Wu is:
- Available for supervision
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