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2025 Journal Article Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equationLi, 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 |
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2025 Journal Article Spatial heterogeneity of groundwater depths in coastal cities and their responses to multiple factors interactions by interpretable machine learning modelsMo, 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 |
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2025 Journal Article Spatiotemporal variations of water levels and river-lake interaction in the Poyang Lake basin under the extreme droughtChen, 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 |
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2025 Journal Article Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral featuresLiu, 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 |
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2025 Journal Article Editorial: Data-driven approaches for efficient smart grid systemsWu, 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 |
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2025 Other Outputs Statistical support vector machines with optimizationsWu, Jinran (2025). Statistical support vector machines with optimizations. PhD Thesis, School of Mathematical Sciences, Queensland University of Technology. doi: 10.5204/thesis.eprints.234509 |
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2024 Journal Article Water resource forecasting with machine learning and deep learning: A scientometric analysisLiu, 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 |
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2024 Journal Article Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM modelZhang, 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 |
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2024 Journal Article Robust autoregressive bidirectional gated recurrent units model for short-term power forecastingYang, 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 |
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2024 Journal Article Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive modelZhao, 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 |
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2024 Journal Article Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball lossCui, 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 |
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2024 Journal Article Advancements in Q-learning meta-heuristic optimization algorithms: a surveyYang, 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 |
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2024 Journal Article Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning modelsMo, 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 |
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2024 Journal Article Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimationLiu, 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 |
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2024 Journal Article Multiscale-integrated deep learning approaches for short-term load forecastingYang, 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 |
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2024 Journal Article Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, ChinaXu, 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 |
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2024 Journal Article Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecastingYang, 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 |
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2024 Journal Article Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networksLi, 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 |
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2024 Journal Article An adaptive trimming approach to Bayesian additive regression treesCao, 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 |
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2024 Journal Article Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball lossCui, 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 |
