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

119 works between 2017 and 2026
All (119) Journal Article (110) Other Outputs (1) Conference Publication (5) Book Chapter (3)

21 - 40 of 119 works

2025

Conference Publication

Fourier-induced DNN Framework for Channel Estimation and Detection in OFDM Systems

Li, Xi'an, Wu, Jinran, Liu, Liang, Xu, Jianhua and Tai, Xin (2025). Fourier-induced DNN Framework for Channel Estimation and Detection in OFDM Systems. IEEE. doi: 10.1109/ucmmt67044.2025.11286858

Fourier-induced DNN Framework for Channel Estimation and Detection in OFDM Systems

2025

Journal Article

Optimising PID controllers for multi‐area automatic generation control with improved NSGA‐II

Yang, Yang, Gao, Yuchao, Gao, Shangce and Wu, Jinran (2025). Optimising PID controllers for multi‐area automatic generation control with improved NSGA‐II. CAAI Transactions on Intelligence Technology, 10 (4), 1135-1147. doi: 10.1049/cit2.70024

Optimising PID controllers for multi‐area automatic generation control with improved NSGA‐II

2025

Journal Article

ViT-GCN: a novel hybrid model for accurate pneumonia diagnosis from X-ray images

Xu, Nuo, Wu, Jinran, Cai, Fengjing, Li, Xi'an and Xie, Hong-Bo (2025). ViT-GCN: a novel hybrid model for accurate pneumonia diagnosis from X-ray images. Biomedical Physics and Engineering Express, 11 (4) 045034, 045034-4. doi: 10.1088/2057-1976/adebf4

ViT-GCN: a novel hybrid model for accurate pneumonia diagnosis from X-ray images

2025

Journal Article

An adaptive regression algorithm with a clustering process for multi-modal data prediction

Zhao, Shangrui, Yu, Weiqi, Wu, Yulu, Wu, Jinran, Li, Xi’an and Wang, You-Gan (2025). An adaptive regression algorithm with a clustering process for multi-modal data prediction. Discover Computing, 28 (1) 94. doi: 10.1007/s10791-025-09565-7

An adaptive regression algorithm with a clustering process for multi-modal data prediction

2025

Journal Article

Feature selection for stock movement direction prediction using sparse support vector machine

Miao, Maoxuan, Wu, Jinran, Cai, Fengjing, Fu, Liya, Zheng, Shurong and Wang, You‐Gan (2025). Feature selection for stock movement direction prediction using sparse support vector machine. Applied Stochastic Models in Business and Industry, 41 (3) e70011, 3. doi: 10.1002/asmb.70011

Feature selection for stock movement direction prediction using sparse support vector machine

2025

Journal Article

Spatial heterogeneity of groundwater depths in coastal cities and their responses to multiple factors interactions by interpretable machine learning models

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

Spatial heterogeneity of groundwater depths in coastal cities and their responses to multiple factors interactions by interpretable machine learning models

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

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

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

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

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

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

Availability

Dr Jinran Wu is:
Available for supervision

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Enquiries

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