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

155 works between 2017 and 2026
All (155) Journal Article (143) Other Outputs (1) Conference Publication (8) Book Chapter (3)

21 - 40 of 155 works

2026

Journal Article

Grain yield loss caused by Fusarium crown rot was mainly due to reduced numbers of fertile tillers in barley

Zheng, Zhi, Liu, Siyuan, Han, Haohui, Gao, Shang, Chhetri, Mumta, Wu, Jinran, Ma, Jun, Wang, You-Gan, Fu, Liya, Li, Weide, Hu, Haiyan and Liu, Chunji (2026). Grain yield loss caused by Fusarium crown rot was mainly due to reduced numbers of fertile tillers in barley. Farming System 100256, 100256. doi: 10.1016/j.farsys.2026.100256

Grain yield loss caused by Fusarium crown rot was mainly due to reduced numbers of fertile tillers in barley

2026

Journal Article

Nonlinear biogeographic responses and threshold patterns in vegetative versus reproductive traits across China's ecosystems

Su, Jianxiao, Zheng, Yujuan, Zhang, Le, Wang, Jingwen, Zhong, Chengguang, Du, Xiaoxuan, Wu, Jinran, Li, Tong, Gao, Jie and Fan, Yuchuan (2026). Nonlinear biogeographic responses and threshold patterns in vegetative versus reproductive traits across China's ecosystems. Journal of Environmental Management, 413 130315, 1-11. doi: 10.1016/j.jenvman.2026.130315

Nonlinear biogeographic responses and threshold patterns in vegetative versus reproductive traits across China's ecosystems

2026

Journal Article

Signal Plus Noise Type Matrix in Random Matrix Theory: A Review

Zhou, Huanchao, Wang, Fang, Wang, You‐Gan, Wu, Jinran, Hu, Jiang, McLachlan, Geoffrey J., Bai, Zhidong and Li, Jianghao (2026). Signal Plus Noise Type Matrix in Random Matrix Theory: A Review. WIREs Computational Statistics, 18 (3) e70071, 1-20. doi: 10.1002/wics.70071

Signal Plus Noise Type Matrix in Random Matrix Theory: A Review

2026

Journal Article

Physics-informed neural networks help to strongly reduce uncertainty in ocean state forecasting

Chen, Tian, Tian, Zhuangcai, Li, Xi'an, Wu, Jingxin, Guo, Xiujun, Zhang, Yumeng, Wang, Haorui and Wu, Jinran (2026). Physics-informed neural networks help to strongly reduce uncertainty in ocean state forecasting. The Innovation Informatics 100051, 1-2. doi: 10.59717/j.xinn-inform.2026.100051

Physics-informed neural networks help to strongly reduce uncertainty in ocean state forecasting

2026

Journal Article

Generative artificial intelligence and urban transport resilience: rethinking sustainable mobility

Wu, Jinran, Tian, Xin, Liu, Qingyang, Li, Tong, Liu, Chanjuan, Xu, Jing and Zhao, Huida (2026). Generative artificial intelligence and urban transport resilience: rethinking sustainable mobility. Safety Science, 198 107148, 1-14. doi: 10.1016/j.ssci.2026.107148

Generative artificial intelligence and urban transport resilience: rethinking sustainable mobility

2026

Journal Article

Versioned soil organic carbon maps for climate-resilient and sustainable cities: a ridge-penalised linear mixed-effects ensemble of MIR-based predictions

Tian, Xin, Liu, Qingyang, Dalal, Ram C., Li, Tong, Wu, Jinran, McLachlan, Geoffrey J., Chapman, Scott and Dang, Yash P. (2026). Versioned soil organic carbon maps for climate-resilient and sustainable cities: a ridge-penalised linear mixed-effects ensemble of MIR-based predictions. Physics and Chemistry of the Earth, 143 104390, 1-15. doi: 10.1016/j.pce.2026.104390

Versioned soil organic carbon maps for climate-resilient and sustainable cities: a ridge-penalised linear mixed-effects ensemble of MIR-based predictions

2026

Journal Article

Geospatial elements as a supervision-like mechanism: Spatial-Neighborhood Preserving Projection for hyperspectral classification

Zeng, Limin, Zhang, Tao, Wang, Fang, Wu, Jinran and Wang, You-Gan (2026). Geospatial elements as a supervision-like mechanism: Spatial-Neighborhood Preserving Projection for hyperspectral classification. Infrared Physics and Technology, 155 106517, 106517. doi: 10.1016/j.infrared.2026.106517

Geospatial elements as a supervision-like mechanism: Spatial-Neighborhood Preserving Projection for hyperspectral classification

2026

Journal Article

Elevational patterns and thresholds of plant functional traits across China's biomes

Zheng, Yujuan, Zhong, Chengguang, Lyu, Tong, Wu, Jinran, Zhang, Le, Wang, Jingwen, Gao, Jie, Li, Tong, Fan, Yuchuan and Pandey, Rajiv (2026). Elevational patterns and thresholds of plant functional traits across China's biomes. Ecological Indicators, 185 114818, 1-10. doi: 10.1016/j.ecolind.2026.114818

Elevational patterns and thresholds of plant functional traits across China's biomes

2026

Journal Article

Multi-head attention driven aggregation-differentiation network for probabilistic groundwater depth forecasting and depth-stratified early warning: A multi-site efficient framework

Xu, Jing, Liu, Siyuan, Wu, Jinran, Mo, Yuming, Wang, Kun, Ji, Qingfeng, Wang, You-Gan and Li, Ling (2026). Multi-head attention driven aggregation-differentiation network for probabilistic groundwater depth forecasting and depth-stratified early warning: A multi-site efficient framework. Environmental Modelling and Software, 199 106934, 1-17. doi: 10.1016/j.envsoft.2026.106934

Multi-head attention driven aggregation-differentiation network for probabilistic groundwater depth forecasting and depth-stratified early warning: A multi-site efficient framework

2026

Journal Article

Multi-scale quantile neural network for air quality index prediction

Zhao, Shangrui, Yu, Weiqi, Li, Xi’an, Xu, Jing and Wu, Jinran (2026). Multi-scale quantile neural network for air quality index prediction. Theoretical and Applied Climatology, 157 (4) 229, 1-18. doi: 10.1007/s00704-026-06155-5

Multi-scale quantile neural network for air quality index prediction

2026

Journal Article

Anthropogenic sustained increase in near bottom suspended particulate matter concentration of the deep marginal sea

Tian, Zhuangcai, Guo, Xiujun, Xiang, Jiaming, Li, Tong and Wu, Jinran (2026). Anthropogenic sustained increase in near bottom suspended particulate matter concentration of the deep marginal sea. Environmental Research, 293 123772, 1-10. doi: 10.1016/j.envres.2026.123772

Anthropogenic sustained increase in near bottom suspended particulate matter concentration of the deep marginal sea

2026

Conference Publication

A margin enhanced data augmentation method for imbalanced credit default prediction

Zhang, Hong, Chen, Yuansheng, Liu, Ximing, Wu, Jinran, Liao, Yichao and Li, Yayong (2026). A margin enhanced data augmentation method for imbalanced credit default prediction. 2025 IEEE International Conference on Big Data (BigData), Macao, China, 8-11 December 2025. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bigdata66926.2025.11401514

A margin enhanced data augmentation method for imbalanced credit default prediction

2026

Journal Article

Integrating linear and circular polarization features for PolSAR land cover classification with deep learning

Zhang, Shuaiying, Dong, Zhen, Lin, Huadong, Zhang, Zhendong, Wu, Jinran, Quan, Sinong, An, Wentao, Li, Tong and Pandey, Rajiv (2026). Integrating linear and circular polarization features for PolSAR land cover classification with deep learning. International Journal of Applied Earth Observation and Geoinformation, 146 105090, 1-16. doi: 10.1016/j.jag.2026.105090

Integrating linear and circular polarization features for PolSAR land cover classification with deep learning

2026

Journal Article

AI ethics in geoscience: toward trustworthy and responsible innovation

Wu, Jinran, Tian, Xin, Wang, You-Gan, Li, Tong, Liu, Qingyang, Li, Yayong, Cui, Lizhen, Tian, Zhuangcai, Xu, Jing, Lyu, Xianzhou and Mo, Yuming (2026). AI ethics in geoscience: toward trustworthy and responsible innovation. Geography and Sustainability, 7 (1) 100414, 1-4. doi: 10.1016/j.geosus.2026.100414

AI ethics in geoscience: toward trustworthy and responsible innovation

2026

Journal Article

Normalized Fourier induced coupled PINNs to solve the Dirichlet biharmonic equations in a large-scale domain

Huang, Yujia, Wu, Jinran, Ding, Zhe and Li, Xi’an (2026). Normalized Fourier induced coupled PINNs to solve the Dirichlet biharmonic equations in a large-scale domain. Frontiers of Computer Science, 20 (7) 2007354, 7. doi: 10.1007/s11704-025-50366-4

Normalized Fourier induced coupled PINNs to solve the Dirichlet biharmonic equations in a large-scale domain

2026

Journal Article

Predictive modelling of Australian school principals’ turnover intentions using machine learning with random effects

Guo, Jiesi, Huang, Danling, Wu, Jinran, Mogouie, Hamed and Dicke, Theresa (2026). Predictive modelling of Australian school principals’ turnover intentions using machine learning with random effects. Discover Computing, 29 (1) 24, 1-21. doi: 10.1007/s10791-025-09838-1

Predictive modelling of Australian school principals’ turnover intentions using machine learning with random effects

2026

Journal Article

Coupled salt and nitrogen dynamics in coastal reservoir-adjacent aquifer systems under extreme rainfall event

Mo, Yuming, Xu, Jing, Tian, Yuhang, Zhu, Senlin, Wu, Jinran, Li, Tong, Jin, Guangqiu and Li, Ling (2026). Coupled salt and nitrogen dynamics in coastal reservoir-adjacent aquifer systems under extreme rainfall event. Journal of Contaminant Hydrology, 276 104762, 104762. doi: 10.1016/j.jconhyd.2025.104762

Coupled salt and nitrogen dynamics in coastal reservoir-adjacent aquifer systems under extreme rainfall event

2026

Journal Article

Bayesian physics-informed neural networks to solve the partial differential equations with noise and incomplete constraints

Li, Xi'an, Wu, Jinran, Ning, Xiao, Wang, Yangshuai and Zhang, Lei (2026). Bayesian physics-informed neural networks to solve the partial differential equations with noise and incomplete constraints. The Innovation Informatics, 2 (2) 100039, 1-2. doi: 10.59717/j.xinn-inform.2026.100039

Bayesian physics-informed neural networks to solve the partial differential equations with noise and incomplete constraints

2026

Journal Article

Prediction of flowering time based on multimodal fusion and temporal meteorological data in rapeseed

Li, Jiakun, Gong, Wanzhuo, Fu, Shaohong, Wu, Jinran, Wu, Qiaobo, Yang, Jin, Li, Yun, Zou, Qiong, Yu, Qin, Liu, Yaxi and Shi, Haoran (2026). Prediction of flowering time based on multimodal fusion and temporal meteorological data in rapeseed. ENGINEERING Agriculture, 13 (6) 26708. doi: 10.15302/j-fase-2026708

Prediction of flowering time based on multimodal fusion and temporal meteorological data in rapeseed

2026

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 (2026). Frequency-Aware Multi-Task Forecasting for Integrated Energy Systems via Variational Mode Decomposition and Convolution-Attention Encoding. IEEE Transactions on Smart Grid, 17 (1), 818-831. doi: 10.1109/tsg.2025.3621486

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

Availability

Dr Jinran Wu is:
Available for supervision

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Enquiries

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