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
2024
Journal Article
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation
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
2024
Journal Article
Multiscale-integrated deep learning approaches for short-term load forecasting
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
2024
Journal 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) e33695, 1-19. doi: 10.1016/j.heliyon.2024.e33695
2024
Journal 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), 8745-8760. doi: 10.1007/s10489-024-05651-3
2024
Journal 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 113012. doi: 10.1016/j.jcp.2024.113012
2024
Journal 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 & Intelligent Systems, 10 (5), 1-19. doi: 10.1007/s40747-024-01516-x
2024
Journal Article
Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss
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
2024
Journal 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, 43 (4), 157-168. doi: 10.1111/emip.12621
2024
Journal Article
Augmented support vector regression with an autoregressive process via an iterative procedure
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
2024
Journal 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 (21), 12753-12773. doi: 10.1007/s00521-024-09923-4
2024
Journal Article
Foreword: Machine learning in environmental modelling
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
2024
Journal 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), 149-162. doi: 10.1002/dug2.12095
2024
Journal 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 121407, 121407. doi: 10.1016/j.watres.2024.121407
2024
Journal Article
Rapeseed seed coat color classification based on the visibility graph algorithm and hyperspectral technique
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
2024
Journal 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) e2023WR034933, 1-20. doi: 10.1029/2023WR034933
2024
Journal 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, 60-75. doi: 10.1016/j.camwa.2024.01.021
2024
Journal 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) 017132. doi: 10.1063/5.0179223
2024
Book Chapter
Recent advances in longitudinal data analysis
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
2024
Journal Article
Robust augmented estimation for hourly PM 2.5 using heteroscedastic spatiotemporal models
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
2024
Journal Article
Inflation transmission diagnostics via a Bayesian graph vector autoregressive model with Markov switching
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, 38 (4), 1659-1682. doi: 10.1007/s11424-024-3022-6
Supervision
Availability
- Dr Jinran Wu is:
- Available for supervision
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