Jinran Wu

58 papers B 2C 2Journal 53Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Frequency-Aware Multi-Task Forecasting for Integrated Energy Systems via Variational Mode Decomposition and Convolution-Attention Encoding.
IEEE Trans. Smart Grid
Yuchao Gao, Jinran Wu, Yang Yang, Zijin Wang, Zhe Ding
2026 J jnl
Multi-head attention driven aggregation-differentiation network for probabilistic groundwater depth forecasting and depth-stratified early warning: A multi-site efficient framework.
Environ. Model. Softw.
Jing Xu, Siyuan Liu, Jinran Wu, Yuming Mo, Kun Wang, Qingfeng Ji, You-Gan Wang, Ling Li
2026 J jnl
Network traffic forecasting with transfer learning-based algorithm for long continuous missing data.
Expert Syst. Appl.
Yang Yang, Zhihao Chen, Yuchao Gao, Zijin Wang, Zhe Ding, Jinran Wu
2026 J jnl
Normalized Fourier induced coupled PINNs to solve the Dirichlet biharmonic equations in a large-scale domain.
Frontiers Comput. Sci.
Yujia Huang, Jinran Wu, Zhe Ding, Xi'an Li
2025 B conf
A Margin Enhanced Data Augmentation Method for Imbalanced Credit Default Prediction.
IEEE Big Data
Hong Zhang, Yuansheng Chen, Ximing Liu, Jinran Wu, Yichao Liao, Yayong Li
2025 J jnl
A comprehensive review of artificial intelligence in Electrocardiogram diagnostics: Integrating knowledge map and meta-analysis approaches.
Appl. Soft Comput.
Yang Yang, Fenglin Zhu, Yuchao Gao, Zhihao Chen, Xi'an Li, Shangce Gao, Jinran Wu
2025 J jnl
An adaptive regression algorithm with a clustering process for multi-modal data prediction.
Discov. Comput.
Shangrui Zhao, Weiqi Yu, Yulu Wu, Jinran Wu, Xi'an Li, You-Gan Wang
2025 J jnl
Fourier heuristic PINNs to solve the biharmonic equations based on its coupled scheme.
CoRR
Yujia Huang, Xi'an Li, Jinran Wu
2025 J jnl
Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equation.
J. Comput. Appl. Math.
Xi'an Li, Jinran Wu, Yujia Huang, Zhe Ding, Xin Tai, Liang Liu, You-Gan Wang
2025 B conf
Generalized Few-Shot Node Classification via Training Set Refinement.
PRICAI
Yayong Li, Xubo Zhang, Hong Zhang, Nan Ye, Zongli Liu, Jinran Wu
2025 J jnl
Inflation Transmission Diagnostics via a Bayesian Graph Vector Autoregressive Model with Markov Switching.
J. Syst. Sci. Complex.
Jiali Fu, Fengjing Cai, Jinran Wu, Shangrui Zhao, You-Gan Wang
2025 J jnl
Informative missingness and its implications in semi-supervised learning.
CoRR
Jinran Wu, You-Gan Wang, Geoffrey J. McLachlan
2025 J jnl
Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting.
Neural Networks
Yang Yang, Yuchao Gao, Hu Zhou, Jinran Wu, Shangce Gao, You-Gan Wang
2025 J jnl
Normalized Fourier-induced PINN method for solving the wave propagation equation in a non-unitized domain over an extended time range.
CoRR
Jichao Ma, Dandan Liu, Jinran Wu, Xi'an Li
2025 J jnl
Optimal predictive load frequency control with multi-objective PID-based search algorithm.
Swarm Evol. Comput.
Yang Yang, Yuchao Gao, Jinran Wu, Shangce Gao
2025 J jnl
Optimising PID Controllers for Multi-Area Automatic Generation Control With Improved NSGA-II.
CAAI Trans. Intell. Technol.
Yang Yang, Yuchao Gao, Shangce Gao, Jinran Wu
2024 J jnl
A survey on wind power forecasting with machine learning approaches.
Neural Comput. Appl.
Yang Yang, Hao Lou, Jinran Wu, Shaotong Zhang, Shangce Gao
2024 J jnl
Advancements in Q-learning meta-heuristic optimization algorithms: A survey.
WIREs Data. Mining. Knowl. Discov.
Yang Yang, Yuchao Gao, Zhe Ding, Jinran Wu, Shaotong Zhang, Feifei Han, Xuelan Qiu, Shangce Gao, You-Gan Wang
2024 J jnl
An adaptive trimming approach to Bayesian additive regression trees.
Complex Intell. Syst.
Taoyun Cao, Jinran Wu, You-Gan Wang
2024 J jnl
Augmented support vector regression with an autoregressive process via an iterative procedure.
Appl. Soft Comput.
Jinran Wu, You-Gan Wang, Hao Zhang
2024 J jnl
Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noise.
CoRR
Yilong Hou, Xi'an Li, Jinran Wu
2024 J jnl
Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study.
CoRR
Jin Yuan, Xuelan Qiu, Jinran Wu, Jiesi Guo, Weide Li, You-Gan Wang
2024 J jnl
Multiscale-integrated deep learning approaches for short-term load forecasting.
Int. J. Mach. Learn. Cybern.
Yang Yang, Yuchao Gao, Zijin Wang, Xi'an Li, Hu Zhou, Jinran Wu
2024 J jnl
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions.
Comput. Math. Appl.
Xi'an Li, Jiaxin Deng, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang
2024 J jnl
Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting.
Appl. Intell.
Yang Yang, Hao Lou, Zijin Wang, Jinran Wu
2024 J jnl
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation.
Earth Sci. Informatics
Siyuan Liu, Jiaxin Deng, Jin Yuan, Weide Li, Xi'an Li, Jing Xu, Shaotong Zhang, Jinran Wu, You-Gan Wang
2024 J jnl
Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting.
Eng. Appl. Artif. Intell.
Yang Yang, Zijin Wang, Shangrui Zhao, Hu Zhou, Jinran Wu
2024 J jnl
Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks.
J. Comput. Phys.
Xi'an Li, Jinran Wu, Xin Tai, Jianhua Xu, You-Gan Wang
2023 J jnl
A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction.
Remote. Sens.
Zihan Hao, Weide Li, Jinran Wu, Shaotong Zhang, Shujuan Hu
2023 J jnl
A new algorithm for support vector regression with automatic selection of hyperparameters.
Pattern Recognit.
You-Gan Wang, Jinran Wu, Zhi-Hua Hu, Geoffrey J. McLachlan
2023 J jnl
A working likelihood approach to support vector regression with a data-driven insensitivity parameter.
Int. J. Mach. Learn. Cybern.
Jinran Wu, You-Gan Wang
2023 J jnl
Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst.
Yang Yang, Xin Fan, Weinan Gao, Wenbin Yue, Aaron Liu, Shuocong Geng, Jinran Wu
2023 J jnl
Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes.
CoRR
Xi'an Li, Jinran Wu, Jiaxin Deng, Zhe Ding, You-Gan Wang, Xin Tai, Liang Liu
2023 J jnl
Iterative Learning in Support Vector Regression With Heterogeneous Variances.
IEEE Trans. Emerg. Top. Comput. Intell.
Jinran Wu, You-Gan Wang
2023 J jnl
Mixture extreme learning machine algorithm for robust regression.
Knowl. Based Syst.
Shangrui Zhao, Xuan-Ang Chen, Jinran Wu, You-Gan Wang
2023 J jnl
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions.
CoRR
Jiaxin Deng, Xi'an Li, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang
2023 J jnl
Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data.
Ecol. Informatics
Shangrui Zhao, Zhen Yang, Shaotong Zhang, Jinran Wu, Zixi Zhao, Dong-Sheng Jeng, You-Gan Wang
2023 J jnl
QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm.
Expert Syst. Appl.
Shangrui Zhao, Yulu Wu, Shuang Tan, Jinran Wu, Zhesen Cui, You-Gan Wang
2023 J jnl
Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting.
IEEE Trans. Syst. Man Cybern. Syst.
Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, Yu-Chu Tian, Dong Yue, You-Gan Wang
2023 J jnl
Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks.
CoRR
Xi'an Li, Jinran Wu, Zhi-Qin John Xu, You-Gan Wang
2022 J jnl
A hybrid robust system considering outliers for electric load series forecasting.
Appl. Intell.
Yang Yang, Zhenghang Tao, Chen Qian, Yuchao Gao, Hu Zhou, Zhe Ding, Jinran Wu
2022 J jnl
An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting.
Expert Syst. Appl.
Shangrui Zhao, Qingyue Wu, Yueyi Zhang, Jinran Wu, Xi-An Li
2022 J jnl
An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning.
J. Supercomput.
Yang Yang, Chen Qian, Haomiao Li, Yuchao Gao, Jinran Wu, Chan-Juan Liu, Shangrui Zhao
2022 J jnl
An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems.
Eng. Appl. Artif. Intell.
Yang Yang, Yuchao Gao, Shuang Tan, Shangrui Zhao, Jinran Wu, Shangce Gao, Tengfei Zhang, Yu-Chu Tian, You-Gan Wang
2022 J jnl
Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems.
Appl. Math. Comput.
Yang Yang, Xiaorui Xi, Songtao Miao, Jinran Wu
2022 J jnl
Robust penalized extreme learning machine regression with applications in wind speed forecasting.
Neural Comput. Appl.
Yang Yang, Hu Zhou, Yuchao Gao, Jinran Wu, You-Gan Wang, Liya Fu
2022 J jnl
Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting.
Appl. Soft Comput.
Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, You-Gan Wang
2021 J jnl
A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble.
Comput. Secur.
Zhiyou Ouyang, Xu Zhai, Jinran Wu, Jian Yang, Dong Yue, Chunxia Dou, Tengfei Zhang
2021 J jnl
A hybrid rolling grey framework for short time series modelling.
Neural Comput. Appl.
Zhesen Cui, Jinran Wu, Zhe Ding, Qibin Duan, Wei Lian, Yang Yang, Taoyun Cao
2021 J jnl
A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability.
Eng. Appl. Artif. Intell.
Shaotong Zhang, Jinran Wu, Yonggang Jia, You-Gan Wang, Yaqi Zhang, Qibin Duan
2021 J jnl
State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach.
Neurocomputing
Yang Yang, Xin Fan, Chuang Xu, Jinran Wu, Baohua Sun
2020 C conf
A robust decomposition-ensemble framework for wind speed forecasting.
ICARCV
Bingquan Zhang, Yang Yang, Dengli Zhao, Jinran Wu
2020 J jnl
A working likelihood approach to support vector regression with a data-driven insensitivity parameter.
CoRR
Jinran Wu, You-Gan Wang
2020 J jnl
Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism.
Neurocomputing
Yang Yang, Jingzhi Ge, Dong Yue, Qing Meng, Jinran Wu
2020 J jnl
An improved firefly algorithm for global continuous optimization problems.
Expert Syst. Appl.
Jinran Wu, You-Gan Wang, Kevin Burrage, Yu-Chu Tian, Brodie Lawson, Zhe Ding
2020 C conf
Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting.
IEA/AIE
Jinran Wu, Zhe Ding
2020 — conf
Modified Slime Mould Algorithm via Levy Flight.
CISP-BMEI
Zhesen Cui, Xiaolei Hou, Hu Zhou, Wei Lian, Jinran Wu
2017 J jnl
A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China.
Comput. Intell. Neurosci.
Weide Li, Demeng Kong, Jinran Wu