Dr Jinran Wu
Postdoctoral Research Fellow
School of Mathematics and Physics
Researcher biography
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 1,500 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 80 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.
Book Chapters
Fu, Liya, Wang, You-Gan and Wu, Jinran (2024). Recent advances in longitudinal data analysis. Handbook of statistics: modeling and analysis of longitudinal data. (pp. 173-221) edited by Donald E.K. Martin, Arni S.R. Srinivasa Rao and C.R. Rao. Amsterdam, Netherlands: Elsevier. doi: 10.1016/bs.host.2023.10.007
Wu, Jinran and Ding, Zhe (2020). Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting. Lecture Notes in Computer Science. (pp. 199-209) Cham: Springer International Publishing. doi: 10.1007/978-3-030-55789-8_18
Journal Articles
Li, Xi’an, Wu, Jinran, Huang, Yujia, Ding, Zhe, Tai, Xin, Liu, Liang and Wang, You-Gan (2025). Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equation. Journal of Computational and Applied Mathematics, 468 116635, 1-19. doi: 10.1016/j.cam.2025.116635
Mo, Yuming, Xu, Jing, Zhu, Senlin, Xu, Beibei, Wu, Jinran, Jin, Guangqiu, Wang, You-Gan and Li, Ling (2025). Spatial heterogeneity of groundwater depths in coastal cities and their responses to multiple factors interactions by interpretable machine learning models. Geoscience Frontiers, 16 (3) 102033, 1-19. doi: 10.1016/j.gsf.2025.102033
Yin, Yu-Qi, Liu, Chanjuan and Wu, Jinran (2025). Scheduling automated guided vehicles considering the buffer lane constraints. Engineering Computations, ahead-of-print (ahead-of-print), 1-30. doi: 10.1108/ec-08-2024-0732
Yang, Yang, Gao, Yuchao, Zhou, Hu, Wu, Jinran, Gao, Shangce and Wang, You-Gan (2025). Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting. Neural Networks, 188 107493, 1-11. doi: 10.1016/j.neunet.2025.107493
Chen, Hexiang, Jin, Guangqiu, Tang, Hongwu, Wu, Jinran, Wang, You-Gan, Zhang, Zhongtian, Deng, Yanqing and Zhang, Siyi (2025). Spatiotemporal variations of water levels and river-lake interaction in the Poyang Lake basin under the extreme drought. Journal of Hydrology: Regional Studies, 57 102165, 102165. doi: 10.1016/j.ejrh.2024.102165
Liu, Fan, Wang, Fang, Zhang, Zaiqi, Cao, Liang, Wu, Jinran and Wang, You-Gan (2025). Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features. Frontiers in Genetics, 15 1518205. doi: 10.3389/fgene.2024.1518205
Wu, Jinran, Yang, Yang, Sun, Shaolong and Yu, Yang (2025). Editorial: Data-driven approaches for efficient smart grid systems. Frontiers in Energy Research, 12, 1-2. doi: 10.3389/fenrg.2024.1536459
Zhang, Shaotong, Zhao, Zixi, Wu, Jinran, Jin, Yao, Jeng, Dong-Sheng, Li, Sanzhong, Li, Guangxue and Ding, Dong (2024). Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model. Ocean Engineering, 313 119385, 119385-313. doi: 10.1016/j.oceaneng.2024.119385
Liu, Chanjuan, 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 100084, 100084-5. doi: 10.1016/j.aiig.2024.100084
Yang, Yang, Wang, Zijin, Zhao, Shangrui, Zhou, Hu and Wu, Jinran (2024). Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting. Engineering Applications of Artificial Intelligence, 138 (Part B) 109453, 109453. doi: 10.1016/j.engappai.2024.109453
Zhao, Zixi, Zhang, Shaotong, Wu, Jinran, Qiao, Lulu, Li, Guangxue, Li, Hongyi and Li, Sanzhong (2024). Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model. Journal of Hydrology, 644 132100, 132100-644. doi: 10.1016/j.jhydrol.2024.132100
Cui, Zhesen, Li, Tian, Ding, Zhe, Li, Xi'an and Wu, Jinran (2024). Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss. Data Science and Management. doi: 10.1016/j.dsm.2024.10.003
Yang, Yang, Gao, Yuchao, Ding, Zhe, Wu, Jinran, Zhang, Shaotong, Han, Feifei, Qiu, Xuelan, Gao, Shangce and Wang, You-Gan (2024). Advancements in Q-learning meta-heuristic optimization algorithms: a survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 14 (6) e1548. doi: 10.1002/widm.1548
Mo, Yuming, Xu, Jing, Liu, Chanjuan, Wu, Jinran and Chen, Dong (2024). Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models. Environmental Monitoring and Assessment, 196 (11) 1008. doi: 10.1007/s10661-024-13209-6
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 (5), 2497-2514. doi: 10.1007/s42235-024-00548-w
Liu, Siyuan, Deng, Jiaxin, Yuan, Jin, Li, Weide, Li, Xi'an, Xu, Jing, Zhang, Shaotong, Wu, Jinran and Wang, You-Gan (2024). Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. Earth Science Informatics, 17 (6), 1-14. doi: 10.1007/s12145-024-01448-7
Yang, Yang, Gao, Yuchao, Wang, Zijin, Li, Xi’an, Zhou, Hu and Wu, Jinran (2024). Multiscale-integrated deep learning approaches for short-term load forecasting. International Journal of Machine Learning and Cybernetics, 15 (12), 6061-6076. doi: 10.1007/s13042-024-02302-4
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) e33695, 1-19. doi: 10.1016/j.heliyon.2024.e33695
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), 8745-8760. doi: 10.1007/s10489-024-05651-3
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 113012. doi: 10.1016/j.jcp.2024.113012
Cao, Taoyun, Wu, Jinran and Wang, You-Gan (2024). An adaptive trimming approach to Bayesian additive regression trees. Complex & Intelligent Systems, 10 (5), 1-19. doi: 10.1007/s40747-024-01516-x
Cui, Zhesen, Ding, Zhe, Xu, Jing, Zhang, Shaotong, Wu, Jinran and Lian, Wei (2024). Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss. Scientific Reports, 14 (1) 13601, 13601. doi: 10.1038/s41598-024-63878-z
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, 43 (4), 157-168. doi: 10.1111/emip.12621
Wu, Jinran, Wang, You-Gan and Zhang, Hao (2024). Augmented support vector regression with an autoregressive process via an iterative procedure. Applied Soft Computing, 158 111549, 1-13. doi: 10.1016/j.asoc.2024.111549
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 (21), 12753-12773. doi: 10.1007/s00521-024-09923-4
Wang, You-Gan and Wu, Jinran (2024). Foreword: Machine learning in environmental modelling. Environmental Modeling and Assessment, 29 (3), 425-426. doi: 10.1007/s10666-024-09981-x
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), 149-162. doi: 10.1002/dug2.12095
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 121407, 121407. doi: 10.1016/j.watres.2024.121407
Zou, Chaojun, Zhu, Xinghui, Wang, Fang, Wu, Jinran and Wang, You-Gan (2024). Rapeseed seed coat color classification based on the visibility graph algorithm and hyperspectral technique. Agronomy, 14 (5) 941, 941. doi: 10.3390/agronomy14050941
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, 60-75. doi: 10.1016/j.camwa.2024.01.021
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) e2023WR034933, 1-20. doi: 10.1029/2023WR034933
Song, Yanan, Wu, Jinran, Fu, Liya and Wang, You-Gan (2024). Robust augmented estimation for hourly PM 2.5 using heteroscedastic spatiotemporal models. Stochastic Environmental Research and Risk Assessment, 38 (4), 1423-1451. doi: 10.1007/s00477-023-02628-5
Fu, Jiali, Cai, Fengjing, Wu, Jinran, Zhao, Shangrui and Wang, You-Gan (2024). Inflation transmission diagnostics via a Bayesian graph vector autoregressive model with Markov switching. Journal of Systems Science and Complexity. doi: 10.1007/s11424-024-3022-6
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) 017132. doi: 10.1063/5.0179223
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 108065. doi: 10.1016/j.ecss.2022.108065
Tian, Zhuangcai, Liu, Hanlu, Zhang, Shaotong, Wu, Jinran and Tian, Jiahao (2022). Prediction of shear stress induced by shoaling internal solitary waves based on machine learning method. Marine Georesources & Geotechnology, 41 (2), 221-232. doi: 10.1080/1064119x.2022.2136045
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 108150. doi: 10.1016/j.epsr.2022.108150
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 111709. doi: 10.1016/j.oceaneng.2022.111709
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) 9642, 9642. doi: 10.3390/su14159642
Yang, Yang, Gao, Yuchao, Tan, Shuang, Zhao, Shangrui, Wu, Jinran, Gao, Shangce, Zhang, Tengfei, Tian, Yu-Chu and Wang, You-Gan (2022). An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. Engineering Applications of Artificial Intelligence, 113 104981, 1-14. doi: 10.1016/j.engappai.2022.104981
Zhang, Shaotong, Wu, Jinran, Wang, You-Gan, Jeng, Dong-Sheng and Li, Guangxue (2022). A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment. Water Research, 218 118518, 1-16. doi: 10.1016/j.watres.2022.118518
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. The Journal of Supercomputing, 78 (18), 19566-19604. doi: 10.1007/s11227-022-04634-w
Yang, Yang, Zhou, Hu, Wu, Jinran, Ding, Zhe and Wang, You-Gan (2022). Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting. Applied Soft Computing, 122 108814. doi: 10.1016/j.asoc.2022.108814
Duan, Qibin, Wu, Jinran and Wang, You-Gan (2022). Optimal battery capacity in electrical load scheduling. Journal of Energy Storage, 50 104190, 1-9. doi: 10.1016/j.est.2022.104190
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 126817. doi: 10.1016/j.amc.2021.126817
Miao, Maoxuan, Wu, Jinran, Cai, Fengjing and Wang, You-Gan (2022). A modified memetic algorithm with an application to gene selection in a sheep body weight study. Animals, 12 (2) 201, 1-15. doi: 10.3390/ani12020201
Liu, Chan-Juan, Wu, Jinran, Jayetileke, Harshanie Lakshika and Hu, Zhi-Hua (2021). Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam. Applied Sciences, 11 (21), 10378-21. doi: 10.3390/app112110378
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, 284-296. doi: 10.1016/j.neucom.2021.05.046
Yang, Yang, Zhou, Hu, Gao, Yuchao, Wu, Jinran, Wang, You-Gan and Fu, Liya (2021). Robust penalized extreme learning machine regression with applications in wind speed forecasting. Neural Computing and Applications, 34 (1), 391-407. doi: 10.1007/s00521-021-06370-3
Yang, Yang, Tao, Zhenghang, Qian, Chen, Gao, Yuchao, Zhou, Hu, Ding, Zhe and Wu, Jinran (2021). A hybrid robust system considering outliers for electric load series forecasting. Applied Intelligence, 52 (2), 1630-1652. doi: 10.1007/s10489-021-02473-5
Wu, Jinran, Wang, You-Gan, Tian, Yu-Chu, Burrage, Kevin and Cao, Taoyun (2021). Support vector regression with asymmetric loss for optimal electric load forecasting. Energy, 223 119969, 1-12. doi: 10.1016/j.energy.2021.119969
Zhang, Shaotong, Wu, Jinran, Jia, Yonggang, Wang, You-Gan, Zhang, Yaqi and Duan, Qibin (2021). A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability. Engineering Applications of Artificial Intelligence, 100 104206, 1-13. doi: 10.1016/j.engappai.2021.104206
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 102178, 1-17. doi: 10.1016/j.cose.2021.102178
Xu, Xu, McGrory, Clare Anne, Wang, You-Gan and Wu, Jinran (2021). Influential factors on Chinese airlines’ profitability and forecasting methods. Journal of Air Transport Management, 91 101969, 1-8. doi: 10.1016/j.jairtraman.2020.101969
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), 11339-11353. doi: 10.1007/s00521-020-05658-0
Zhu, Min, Wu, Jinran and Wang, You-Gan (2020). Multi-horizon accommodation demand forecasting: a New Zealand case study. International Journal of Tourism Research, 23 (3), 442-453. doi: 10.1002/jtr.2416
Gao, Shang, Wu, Jinran, Stiller, Jiri, Zheng, Zhi, Zhou, Meixue, Wang, You-Gan and Liu, Chunji (2020). Identifying barley pan-genome sequence anchors using genetic mapping and machine learning. Theoretical and Applied Genetics, 133 (9), 2535-2544. doi: 10.1007/s00122-020-03615-y
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, 304-313. doi: 10.1016/j.neucom.2020.04.061
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 113340, 1-12. doi: 10.1016/j.eswa.2020.113340
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, 598-609. doi: 10.1016/j.energy.2018.10.076
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 2843651, 1-11. doi: 10.1155/2017/2843651
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) 694, 1-16. doi: 10.3390/en10050694
Conference Papers
Lin, Xia, Li, Haomiao, Jiang, Xin, Gao, Yuchao, Wu, Jinran and Yang, Yang (2021). Improve Exploration of Arithmetic Optimization Algorithm by Opposition-based Learning. 2021 IEEE International Conference on Progress in Informatics and Computing (PIC), Shanghai, China, 17-19 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/pic53636.2021.9687010
Gao, Yuchao, Qian, Cheng, Tao, Zhenghang, Zhou, Hu, Wu, Jinran and Yang, Yang (2020). Improved Whale Optimization Algorithm via Cellular Automata. 2020 IEEE International Conference on Progress in Informatics and Computing (PIC), Shanghai, China, 18-20 December 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/pic50277.2020.9350796
Zhang, Bingquan, Yang, Yang, Zhao, Dengli and Wu, Jinran (2020). A robust decomposition-ensemble framework for wind speed forecasting. 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Shenzhen, China, 13-15 December 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icarcv50220.2020.9305351
Cui, Zhesen, Hou, Xiaolei, Zhou, Hu, Lian, Wei and Wu, Jinran (2020). Modified Slime Mould Algorithm via Levy Flight. 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Chengdu, China, 17-19 October 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cisp-bmei51763.2020.9263669
Thesis
Wu, Jinran (2025). Statistical support vector machines with optimizations. PhD Thesis, School of Mathematical Sciences, Queensland University of Technology. doi: 10.5204/thesis.eprints.234509