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Dr

Jinran Wu

Email: 

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

100 works between 2017 and 2025

41 - 60 of 100 works

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

Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling

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

A hybrid Autoformer framework for electricity demand forecasting

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

A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting

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

Robust regression for electricity demand forecasting against cyberattacks

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

Forecasting stock closing prices with an application to airline company data

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

Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data

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

Mixture extreme learning machine algorithm for robust regression

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

Subaqueous silt ripples measured by an echo sounder: implications for bed roughness, bed shear stress and erosion threshold

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

Enhancing feature selection optimization for COVID-19 microarray data

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

Event-triggered output feedback control for a class of nonlinear systems via disturbance observer and adaptive dynamic programming

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

Improved prediction of local significant wave height by considering the memory of past winds

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

QL-ADIFA: Hybrid optimization using Q-learning and an adaptive logarithmic spiral-levy firefly algorithm

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

Robust adaptive rescaled lncosh neural network regression toward time-series forecasting

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

Iterative learning in support vector regression with heterogeneous variances

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

An evaluation of the impact of COVID-19 lockdowns on electricity demand

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

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm

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

A novel deep learning model for mining nonlinear dynamics in lake surface water temperature prediction

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

Event-trigger-based fault-tolerant control of uncertain non-affine systems with predefined performance

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

A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic

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

A new algorithm for support vector regression with automatic selection of hyperparameters

Supervision

Availability

Dr Jinran Wu is:
Available for supervision

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Media

Enquiries

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