Jinran Wu
| Contact category | Researcher |
|---|---|
| Job title | Research Fellow |
| Research institute | Institute for Positive Psychology and Education |
| Faculty of Education and Arts | |
| ORCID | https://orcid.org/0000-0002-2388-3614 |
Research outputs
Water resource forecasting with machine learning and deep learning : A scientometric analysis
Liu, Chan-Juan, Xu, Jing, Li, Xi-An, Yu, Zhongyao and Wu, Jinran. (2024). Water resource forecasting with machine learning and deep learning : A scientometric analysis. Artificial Intelligence in Geosciences. 5, pp. 1-12. https://doi.org/10.1016/j.aiig.2024.100084Journal article
Pinball-Huber boosted extreme learning machine regression : A multiobjective approach to accurate power load forecasting
Yang, Yang, Lou, Hao, Wang, Zijin and Wu, Jinran. (2024). Pinball-Huber boosted extreme learning machine regression : A multiobjective approach to accurate power load forecasting. Applied Intelligence. 54(17-18), pp. 8745-8760. https://doi.org/10.1007/s10489-024-05651-3Journal article
Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China
Xu, Jing, Mo, Yuming, Zhu, Senlin, Wu, Jinran, Jin, Guangqiu, Wang, You-Gan, Ji, Qingfeng and Li, Ling. (2024). Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China. Heliyon. 10(13), pp. 1-19. https://doi.org/10.1016/j.heliyon.2024.e33695Journal article
An adaptive trimming approach to Bayesian additive regression trees
Cao, Taoyun, Wu, Jinran and Wang, You-Gan. (2024). An adaptive trimming approach to Bayesian additive regression trees. Complex and Intelligent Systems. pp. 6805-6823. https://doi.org/10.1007/s40747-024-01516-xJournal article
Item Response Theory Models for Polytomous Multidimensional Forced-Choice Items to Measure Construct Differentiation
Qiu, Xuelan, de la Torre, Jimmy, Wang, You-Gan and Wu, Jinran. (2024). Item Response Theory Models for Polytomous Multidimensional Forced-Choice Items to Measure Construct Differentiation. Educational Measurement: Issues and Practice. pp. 1-12. https://doi.org/10.1111/emip.12621Journal article
Improving PID Controller Performance in Nonlinear Oscillatory Automatic Generation Control Systems Using a Multi-objective Marine Predator Algorithm with Enhanced Diversity
Yang, Yang, Gao, Yuchao, Wu, Jinran, Ding, Zhe and Zhao, Shangrui. (2024). Improving PID Controller Performance in Nonlinear Oscillatory Automatic Generation Control Systems Using a Multi-objective Marine Predator Algorithm with Enhanced Diversity. Journal of Bionic Engineering. 21, pp. 2497-2514. https://doi.org/10.1007/s42235-024-00548-wJournal article
A survey on wind power forecasting with machine learning approaches
Yang, Yang, Lou, Hao, Wu, Jinran, Zhang, Shaotong and Gao, Shangce. (2024). A survey on wind power forecasting with machine learning approaches. Neural Computing and Applications. 36, pp. 12753-12773. https://doi.org/10.1007/s00521-024-09923-4Journal article
Interaction between internal solitary waves and the seafloor in the deep sea
Tian, Zhuangcai, Huang, Jinjian, Xiang, Jiaming, Zhang, Shaotong, Wu, Jinran, Liu, Xiaolei, Luo, Tingting and Yue, Jianhua. (2024). Interaction between internal solitary waves and the seafloor in the deep sea. Deep Underground Science and Engineering. 3(2), pp. 149-162. https://doi.org/10.1002/dug2.12095Journal article
Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks
Li, Xi-An, Wu, Jinran, Tai, Xin, Xu, Jianhua and Wang, You-Gan. (2024). Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks. Journal of Computational Physics. 508(C), pp. 1-23. https://doi.org/10.1016/j.jcp.2024.113012Journal article
Estimation of Sediment Transport Parameters From Measured Suspended Concentration Time Series Under Waves and Currents With a New Conceptual Model
Zhang, Shaotong, Zhao, Zixi, Li, Guangxue, Wu, Jinran, Wang, You-Gan, Nielsen, Peter, Jeng, Dong-Sheng, Qiao, Lulu, Wang, Chenghao and Li, Sanzhong. (2024). Estimation of Sediment Transport Parameters From Measured Suspended Concentration Time Series Under Waves and Currents With a New Conceptual Model. Water Resources Research. 60(4), pp. 1-20. https://doi.org/10.1029/2023WR034933Journal article
Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model
Zhang, Shaotong, Zhao, Zixi, Wu, Jinran, Perrochet, Pierre, Wang, You-Gan, Li, Guangxue and Li, Sanzhong. (2024). Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model. Water Research. 254, pp. 1-11. https://doi.org/10.1016/j.watres.2024.121407Journal article
Recent advances in longitudinal data analysis
Fu, Liya, Wang, You-Gan and Wu, Jinran. (2024). Recent advances in longitudinal data analysis. Handbook of Statistics. 50, pp. 173-221. https://doi.org/10.1016/bs.host.2023.10.007Journal article
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions
Li, Xi-An, Deng, Jiaxin, Wu, Jinran, Zhang, Shaotong, Li, Weide and Wang, You-Gan. (2024). Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. Computers and Mathematics with Applications. 159, pp. 60-75. https://doi.org/10.1016/j.camwa.2024.01.021Journal article
Solving the one dimensional vertical suspended sediment mixing equation with arbitrary eddy diffusivity profiles using temporal normalized physics-informed neural networks
Zhang, Shaotong, Deng, Jiaxin, Li, Xi-An, Zhao, Zixi, Wu, Jinran, Li, Weide, Wang, You-Gan and Jeng, Dong-Sheng. (2024). Solving the one dimensional vertical suspended sediment mixing equation with arbitrary eddy diffusivity profiles using temporal normalized physics-informed neural networks. Physics of Fluids. 36(1), pp. 1-17. https://doi.org/10.1063/5.0179223Journal article
Robust augmented estimation for hourly PM 2.5 using heteroscedastic spatiotemporal models
Song, Yanan, Wu, Jinran, Fu, Liya and Wang, You-Gan. (2023). Robust augmented estimation for hourly PM 2.5 using heteroscedastic spatiotemporal models. Stochastic Environmental Research and Risk Assessment. 38, pp. 1423-1451. https://doi.org/10.1007/s00477-023-02628-5Journal 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), pp. 1-12. https://doi.org/10.1007/s42994-023-00125-5Journal 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, pp. 1-21. https://doi.org/10.1016/j.ecoinf.2023.102385Journal 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, pp. 1-15. https://doi.org/10.1016/j.jhydrol.2023.130354Journal 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), pp. 239-246. https://doi.org/10.1016/j.dsm.2023.09.005Journal 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, p. Article 111033. https://doi.org/10.1016/j.knosys.2023.111033Journal article
Enhancing Feature Selection Optimization for COVID-19 Microarray Data
Krishanthi, Gayani, Jayetileke, Harshanie L., Wu, Jinran, Liu, Chan-Juan and Wang, You-Gan. (2023). Enhancing Feature Selection Optimization for COVID-19 Microarray Data. COVID. 3(9), pp. 1336-1355. https://doi.org/10.3390/covid3090093Journal 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), p. Article e2023WR034974. https://doi.org/10.1029/2023WR034974Journal 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), pp. 13542-13561. https://doi.org/10.3934/mbe.2023604Journal 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), pp. 5658-5669. https://doi.org/10.1109/TSMC.2023.3272880Journal article
A hybrid Autoformer framework for electricity demand forecasting
Wang, Ziqian, Chen, Zhihao, Yang, Yang, Liu, Chan-Juan, Li, Xi-An and Wu, Jinran. (2023). A hybrid Autoformer framework for electricity demand forecasting. Energy Reports. 9, pp. 3800-3812. https://doi.org/10.1016/j.egyr.2023.02.083Journal 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), pp. 3148-3160. https://doi.org/10.1109/TFUZZ.2023.3245294Journal 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), pp. 519-535. https://doi.org/10.1007/s12555-021-1007-yJournal 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), pp. 1-17. https://doi.org/10.1038/s41598-023-28287-8Journal 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, pp. 1887-1895. https://doi.org/10.1016/j.egyr.2023.01.019Journal 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), pp. 1573-1592. https://doi.org/10.1016/j.ijforecast.2022.10.004Journal 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, p. Article 109015. https://doi.org/10.1016/j.epsr.2022.109015Journal 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), p. Article 119246. https://doi.org/10.1016/j.eswa.2022.119246Journal 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), p. Article 4186. https://doi.org/10.3390/math10224186Journal 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), p. Article e11474. https://doi.org/10.1016/j.heliyon.2022.e11474Journal 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. (2023). Prediction of shear stress induced by shoaling internal solitary waves based on machine learning method. Marine Georesources and Geotechnology. 41(2), pp. 221-232. https://doi.org/10.1080/1064119X.2022.2136045Journal 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), pp. 929-945. https://doi.org/10.1007/s13042-022-01672-xJournal 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, p. Article 108830. https://doi.org/10.1016/j.epsr.2022.108830Journal 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, p. Article 109416. https://doi.org/10.1016/j.ecolind.2022.109416Journal 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, p. Article 108065. https://doi.org/10.1016/j.ecss.2022.108065Journal 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, p. Article 108989. https://doi.org/10.1016/j.patcog.2022.108989Journal 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, p. Article 118467. https://doi.org/10.1016/j.eswa.2022.118467Journal 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), p. Article 9642. https://doi.org/10.3390/su14159642Journal 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. Journal of Supercomputing. 78(18), pp. 19566-19604. https://doi.org/10.1007/s11227-022-04634-wJournal 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, p. Article 111709. https://doi.org/10.1016/j.oceaneng.2022.111709Journal 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, p. Article 108150. https://doi.org/10.1016/j.epsr.2022.108150Journal 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), p. Article 108249. https://doi.org/10.1016/j.ijepes.2022.108249Journal 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, p. Article 104190. https://doi.org/10.1016/j.est.2022.104190Journal 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, p. Article 126817. https://doi.org/10.1016/j.amc.2021.126817Journal 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, pp. 284-296. https://doi.org/10.1016/j.neucom.2021.05.046Journal 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. (2022). A hybrid robust system considering outliers for electric load series forecasting. Applied Intelligence. 52(2), pp. 1630-1652. https://doi.org/10.1007/s10489-021-02473-5Journal article
A hybrid rolling grey framework for short time series modelling
Cui, Zhesen, Wu, Jinran, Ding, Zhe, Duan, Qibin, Lian, Wei, Yang, Yang and Cao, Taoyun. (2021). A hybrid rolling grey framework for short time series modelling. Neural Computing and Applications. 33(17), pp. 11339-11353. https://doi.org/10.1007/s00521-020-05658-0Journal 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, p. Article 102178. https://doi.org/10.1016/j.cose.2021.102178Journal article
Multi-horizon accommodation demand forecasting : A New Zealand case study
Zhu, Min, Wu, Jinran and Wang, You-Gan. (2021). Multi-horizon accommodation demand forecasting : A New Zealand case study. International Journal of Tourism Research. 23(3), pp. 442-453. https://doi.org/10.1002/jtr.2416Journal article
Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism
Yang, Yang, Ge, Jingzhi, Yue, Dong, Meng, Qing and Wu, Jinran. (2020). Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism. Neurocomputing. 403, pp. 304-313. https://doi.org/10.1016/j.neucom.2020.04.061Journal article
An improved firefly algorithm for global continuous optimization problems
Wu, Jinran, Wang, You-Gan, Burrage, Kevin, Tian, Yu-Chu, Lawson, Brodie and Ding, Zhe. (2020). An improved firefly algorithm for global continuous optimization problems. Expert Systems with Applications. 149, p. Article 113340. https://doi.org/10.1016/j.eswa.2020.113340Journal article
A new hybrid model to predict the electrical load in five states of Australia
Wu, Jinran, Cui, Zhesen, Chen, Yanyan, Kong, Demeng and Wang, You-Gan. (2019). A new hybrid model to predict the electrical load in five states of Australia. Energy. 166, pp. 598-609. https://doi.org/10.1016/j.energy.2018.10.076Journal article
A new hybrid model FPA-SVM considering cointegration for particular matter concentration forecasting : A case study of Kunming and Yuxi, China
Li, Weide, Kong, Demeng and Wu, Jinran. (2017). A new hybrid model FPA-SVM considering cointegration for particular matter concentration forecasting : A case study of Kunming and Yuxi, China. Computational Intelligence and Neuroscience. 2017, p. Article 2843651. https://doi.org/10.1155/2017/2843651Journal article
A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting
Li, Weide, Kong, Demeng and Wu, Jinran. (2017). A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting. Energies. 10(5), p. Article 694. https://doi.org/10.3390/en10050694Journal article
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