Dr

Jinran Wu

Email: 

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

Search Professor Jinran Wu’s works on UQ eSpace

114 works between 2017 and 2026
All (114) Journal Article (106) Other Outputs (1) Conference Publication (4) Book Chapter (3)

21 - 40 of 114 works

2025

Journal Article

Scheduling automated guided vehicles considering the buffer lane constraints

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

Scheduling automated guided vehicles considering the buffer lane constraints

2025

Journal Article

Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting

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

Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting

2025

Journal Article

Spatiotemporal variations of water levels and river-lake interaction in the Poyang Lake basin under the extreme drought

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

Spatiotemporal variations of water levels and river-lake interaction in the Poyang Lake basin under the extreme drought

2025

Journal Article

Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features

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, 1518205. doi: 10.3389/fgene.2024.1518205

Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features

2025

Journal Article

Editorial: Data-driven approaches for efficient smart grid systems

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

Editorial: Data-driven approaches for efficient smart grid systems

2025

Journal Article

Frequency-Aware Multi-Task Forecasting for Integrated Energy Systems via Variational Mode Decomposition and Convolution-Attention Encoding

Gao, Yuchao, Wu, Jinran, Yang, Yang, Wang, Zijin and Ding, Zhe (2025). Frequency-Aware Multi-Task Forecasting for Integrated Energy Systems via Variational Mode Decomposition and Convolution-Attention Encoding. IEEE Transactions on Smart Grid, PP (99), 1-1. doi: 10.1109/tsg.2025.3621486

Frequency-Aware Multi-Task Forecasting for Integrated Energy Systems via Variational Mode Decomposition and Convolution-Attention Encoding

2024

Journal Article

Water resource forecasting with machine learning and deep learning: A scientometric analysis

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

Water resource forecasting with machine learning and deep learning: A scientometric analysis

2024

Journal Article

Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model

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

Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model

2024

Journal Article

Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting

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

Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting

2024

Journal Article

Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model

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

Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model

2024

Journal Article

Advancements in Q-learning meta-heuristic optimization algorithms: a survey

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

Advancements in Q-learning meta-heuristic optimization algorithms: a survey

2024

Journal Article

Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models

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

Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models

2024

Journal 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 (5), 2497-2514. doi: 10.1007/s42235-024-00548-w

Improving PID controller performance in nonlinear oscillatory automatic generation control systems using a multi-objective marine predator algorithm with enhanced diversity

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

Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation

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

Multiscale-integrated deep learning approaches for short-term load forecasting

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

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China

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

Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting

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

Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks

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

An adaptive trimming approach to Bayesian additive regression trees

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

Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss

Availability

Dr Jinran Wu is:
Available for supervision

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Enquiries

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