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
Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling
Gao, Shang, Chen, Shoukun, Yang, Maogeng, Wu, Jinran, Chen, Shihua and Li, Huihui (2023). Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling. aBIOTECH, 4 (4), 291-302. doi: 10.1007/s42994-023-00125-5
2023
Journal Article
A hybrid Autoformer framework for electricity demand forecasting
Wang, Ziqian, Chen, Zhihao, Yang, Yang, Liu, Chanjuan, Li, Xi'an and Wu, Jinran (2023). A hybrid Autoformer framework for electricity demand forecasting. Energy Reports, 9, 3800-3812. doi: 10.1016/j.egyr.2023.02.083
2023
Journal Article
A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting
Cui, Zhesen, Wu, Jinran, Lian, Wei and Wang, You-Gan (2023). A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting. Energy Reports, 9, 1887-1895. doi: 10.1016/j.egyr.2023.01.019
2023
Journal Article
Robust regression for electricity demand forecasting against cyberattacks
VandenHeuvel, Daniel, Wu, Jinran and Wang, You-Gan (2023). Robust regression for electricity demand forecasting against cyberattacks. International Journal of Forecasting, 39 (4), 1573-1592. doi: 10.1016/j.ijforecast.2022.10.004
2023
Journal Article
Forecasting stock closing prices with an application to airline company data
Xu, Xu, Zhang, Yixiang, McGrory, Clare Anne, Wu, Jinran and Wang, You-Gan (2023). Forecasting stock closing prices with an application to airline company data. Data Science and Management, 6 (4), 239-246. doi: 10.1016/j.dsm.2023.09.005
2023
Journal Article
Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data
Zhao, Shangrui, Yang, Zhen, Zhang, Shaotong, Wu, Jinran, Zhao, Zixi, Jeng, Dong-Sheng and Wang, You-Gan (2023). Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data. Ecological Informatics, 78 102385. doi: 10.1016/j.ecoinf.2023.102385
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
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
Supervision
Availability
- Dr Jinran Wu is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Media
Enquiries
For media enquiries about Dr Jinran Wu's areas of expertise, story ideas and help finding experts, contact our Media team: