2026
Informative missingness and its implications in semi-supervised learning
Jinran Wu, You-Gan Wang & Geoffrey J. McLachlan · The Innovation Informatics, 2, 100033.
Selected publications
The complete record is available through Google Scholar and the full CV.
2026 highlights
Recent work
2026
AI ethics in geoscience: Toward trustworthy and responsible innovation
Jinran Wu, Xin Tian, You-Gan Wang et al. · Geography and Sustainability, 7(1), 100414.
2026
Generative artificial intelligence and urban transport resilience: Rethinking sustainable mobility
Jinran Wu, Xin Tian, Qingyang Liu et al. · Safety Science, 198, 107148.
2026
Signal plus noise type matrix in random matrix theory: A review
Huanchao Zhou, Fang Wang, You-Gan Wang, Jinran Wu et al. · WIREs Computational Statistics, 18(3), e70071.
2026
Normalized Fourier induced coupled PINNs to solve the Dirichlet biharmonic equations in a large-scale domain
Yujia Huang, Jinran Wu, Zhe Ding & Xi’an Li · Frontiers of Computer Science, 20(7), 2007354.
2026
Frequency-aware multi-task forecasting for integrated energy systems
Yuchao Gao, Jinran Wu, Yang Yang, Zijin Wang & Zhe Ding · IEEE Transactions on Smart Grid, 17(1), 818–831.
Methodological foundations
Statistical learning and optimisation
2024
Augmented support vector regression with an autoregressive process via an iterative procedure
Jinran Wu, You-Gan Wang & Hao Zhang · Applied Soft Computing, 158, 111549.
2023
A new algorithm for support vector regression with automatic selection of hyperparameters
You-Gan Wang, Jinran Wu, Zhi-Hua Hu & Geoffrey J. McLachlan · Pattern Recognition, 133, 108989.
2023
Iterative learning in support vector regression with heterogeneous variances
Jinran Wu & You-Gan Wang · IEEE Transactions on Emerging Topics in Computational Intelligence, 7(2), 513–522.
2023
A working likelihood approach to support vector regression with a data-driven insensitivity parameter
Jinran Wu & You-Gan Wang · International Journal of Machine Learning and Cybernetics, 14, 929–945.
2021
Support vector regression with asymmetric loss for optimal electric load forecasting
Jinran Wu, You-Gan Wang, Yu-Chu Tian, Kevin Burrage & Taoyun Cao · Energy, 223, 119969.
Forecasting and environmental modelling
Applied mathematical modelling
2025
Multi-granularity Autoformer for long-term deterministic and probabilistic power load forecasting
Yang Yang, Yuchao Gao, Hu Zhou, Jinran Wu et al. · Neural Networks, 188, 107493.
2024
Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics-informed neural networks
Xi’an Li, Jinran Wu, Xin Tai, Jianhua Xu & You-Gan Wang · Journal of Computational Physics, 508, 113012.
2023
Robust regression for electricity demand forecasting against cyberattacks
Daniel VandenHeuvel, Jinran Wu & You-Gan Wang · International Journal of Forecasting, 39(4), 1573–1592.
2022
A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment
Shaotong Zhang, Jinran Wu, You-Gan Wang et al. · Water Research, 218, 118518.