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)

41 - 60 of 114 works

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

Item response theory models for polytomous multidimensional forced‐choice items to measure construct differentiation

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

Augmented support vector regression with an autoregressive process via an iterative procedure

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

A survey on wind power forecasting with machine learning approaches

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

Foreword: Machine learning in environmental modelling

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

Interaction between internal solitary waves and the seafloor in the deep sea

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

Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model

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

Rapeseed seed coat color classification based on the visibility graph algorithm and hyperspectral technique

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 & Mathematics with Applications, 159, 60-75. doi: 10.1016/j.camwa.2024.01.021

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions

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

Estimation of sediment transport parameters from measured suspended concentration time series under waves and currents with a new conceptual model

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

Robust augmented estimation for hourly PM 2.5 using heteroscedastic spatiotemporal models

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

Inflation transmission diagnostics via a Bayesian graph vector autoregressive model with Markov switching

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

Solving the one dimensional vertical suspended sediment mixing equation with arbitrary eddy diffusivity profiles using temporal normalized physics-informed neural networks

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

Recent advances in longitudinal data analysis

2023

Journal Article

Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling

Gao, Shang, Chen, Shoukun, Yang, Maogeng, Wu, Jinran, Chen, Shihua and Li, Huihui (2023). Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling. aBIOTECH, 4 (4), 291-302. doi: 10.1007/s42994-023-00125-5

Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling

2023

Journal Article

A hybrid Autoformer framework for electricity demand forecasting

Wang, Ziqian, Chen, Zhihao, Yang, Yang, Liu, Chanjuan, Li, Xi'an and Wu, Jinran (2023). A hybrid Autoformer framework for electricity demand forecasting. Energy Reports, 9, 3800-3812. doi: 10.1016/j.egyr.2023.02.083

A hybrid Autoformer framework for electricity demand forecasting

2023

Journal Article

A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting

Cui, Zhesen, Wu, Jinran, Lian, Wei and Wang, You-Gan (2023). A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting. Energy Reports, 9, 1887-1895. doi: 10.1016/j.egyr.2023.01.019

A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting

2023

Journal Article

Robust regression for electricity demand forecasting against cyberattacks

VandenHeuvel, Daniel, Wu, Jinran and Wang, You-Gan (2023). Robust regression for electricity demand forecasting against cyberattacks. International Journal of Forecasting, 39 (4), 1573-1592. doi: 10.1016/j.ijforecast.2022.10.004

Robust regression for electricity demand forecasting against cyberattacks

2023

Journal Article

Forecasting stock closing prices with an application to airline company data

Xu, Xu, Zhang, Yixiang, McGrory, Clare Anne, Wu, Jinran and Wang, You-Gan (2023). Forecasting stock closing prices with an application to airline company data. Data Science and Management, 6 (4), 239-246. doi: 10.1016/j.dsm.2023.09.005

Forecasting stock closing prices with an application to airline company data

2023

Journal Article

Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data

Zhao, Shangrui, Yang, Zhen, Zhang, Shaotong, Wu, Jinran, Zhao, Zixi, Jeng, Dong-Sheng and Wang, You-Gan (2023). Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data. Ecological Informatics, 78 102385, 102385. doi: 10.1016/j.ecoinf.2023.102385

Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data

2023

Journal Article

Mixture extreme learning machine algorithm for robust regression

Zhao, Shangrui, Chen, Xuan-Ang, Wu, Jinran and Wang, You-Gan (2023). Mixture extreme learning machine algorithm for robust regression. Knowledge-Based Systems, 280 111033, 1-12. doi: 10.1016/j.knosys.2023.111033

Mixture extreme learning machine algorithm for robust regression

Availability

Dr Jinran Wu is:
Available for supervision

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Enquiries

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