A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China. - Weide Li; Demeng Kong; Jinran Wu (Comput. Intell. Neurosci., 2017)

Modified Slime Mould Algorithm via Levy Flight. - Zhesen Cui; Xiaolei Hou; Hu Zhou; Wei Lian; Jinran Wu (CISP-BMEI, 2020)

A robust decomposition-ensemble framework for wind speed forecasting. - Bingquan Zhang; Yang Yang 052; Dengli Zhao; Jinran Wu (ICARCV, 2020)

Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting. - Jinran Wu; Zhe Ding (IEA/AIE, 2020)

An improved firefly algorithm for global continuous optimization problems. - Jinran Wu; You-Gan Wang; Kevin Burrage; Yu-Chu Tian; Brodie Lawson; Zhe Ding (Expert Syst. Appl., 2020)

Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism. - Yang Yang 052; Jingzhi Ge; Dong Yue 001; Qing Meng; Jinran Wu (Neurocomputing, 2020)

A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble. - Zhiyou Ouyang; Xu Zhai; Jinran Wu; Jian Yang 003; Dong Yue 001; Chunxia Dou; Tengfei Zhang 001 (Comput. Secur., 2021)

A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability. - Shaotong Zhang; Jinran Wu; Yonggang Jia; You-Gan Wang; Yaqi Zhang; Qibin Duan (Eng. Appl. Artif. Intell., 2021)

State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach. - Yang Yang 052; Xin Fan; Chuang Xu; Jinran Wu; Baohua Sun (Neurocomputing, 2021)

A hybrid rolling grey framework for short time series modelling. - Zhesen Cui; Jinran Wu; Zhe Ding; Qibin Duan; Wei Lian; Yang Yang 052; Taoyun Cao (Neural Comput. Appl., 2021)

Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems. - Yang Yang 052; Xiaorui Xi; Songtao Miao; Jinran Wu (Appl. Math. Comput., 2022)

A hybrid robust system considering outliers for electric load series forecasting. - Yang Yang 052; Zhenghang Tao; Chen Qian; Yuchao Gao; Hu Zhou; Zhe Ding; Jinran Wu (Appl. Intell., 2022)

Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting. - Yang Yang 052; Hu Zhou; Jinran Wu; Zhe Ding; You-Gan Wang (Appl. Soft Comput., 2022)

An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. - Yang Yang 052; Yuchao Gao; Shuang Tan; Shangrui Zhao; Jinran Wu; Shangce Gao; Tengfei Zhang 001; Yu-Chu Tian; You-Gan Wang (Eng. Appl. Artif. Intell., 2022)

An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting. - Shangrui Zhao; Qingyue Wu; Yueyi Zhang; Jinran Wu; Xi-An Li 004 (Expert Syst. Appl., 2022)

Robust penalized extreme learning machine regression with applications in wind speed forecasting. - Yang Yang 052; Hu Zhou; Yuchao Gao; Jinran Wu; You-Gan Wang; Liya Fu (Neural Comput. Appl., 2022)

An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning. - Yang Yang 052; Chen Qian; Haomiao Li; Yuchao Gao; Jinran Wu; Chan-Juan Liu; Shangrui Zhao (J. Supercomput., 2022)

Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks. - Xi'an Li 004; Jinran Wu; Zhi-Qin John Xu; You-Gan Wang (CoRR, 2023)

Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes. - Xi'an Li 004; Jinran Wu; Jiaxin Deng; Zhe Ding; You-Gan Wang; Xin Tai; Liang Liu (CoRR, 2023)

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm. - Shangrui Zhao; Yulu Wu; Shuang Tan; Jinran Wu; Zhesen Cui; You-Gan Wang (Expert Syst. Appl., 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 Recognit., 2023)

A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction. - Zihan Hao; Weide Li; Jinran Wu; Shaotong Zhang; Shujuan Hu (Remote. Sens., 2023)

A working likelihood approach to support vector regression with a data-driven insensitivity parameter. - Jinran Wu; You-Gan Wang (Int. J. Mach. Learn. Cybern., 2023)

Iterative Learning in Support Vector Regression With Heterogeneous Variances. - Jinran Wu; You-Gan Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming. - Yang Yang 052; Xin Fan; Weinan Gao; Wenbin Yue; Aaron Liu 001; Shuocong Geng; Jinran Wu (IEEE Trans. Fuzzy Syst., 2023)

Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting. - Yang Yang 052; Hu Zhou; Jinran Wu; Zhe Ding; Yu-Chu Tian; Dong Yue 001; You-Gan Wang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Mixture extreme learning machine algorithm for robust regression. - Shangrui Zhao; Xuan-Ang Chen; Jinran Wu; You-Gan Wang (Knowl. Based Syst., 2023)

Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data. - Shangrui Zhao; Zhen Yang; Shaotong Zhang; Jinran Wu; Zixi Zhao; Dong-Sheng Jeng; You-Gan Wang (Ecol. Informatics, 2023)

Augmented support vector regression with an autoregressive process via an iterative procedure. - Jinran Wu; You-Gan Wang; Hao Zhang 152 (Appl. Soft Comput., 2024)

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. - Xi'an Li 004; Jiaxin Deng; Jinran Wu; Shaotong Zhang; Weide Li; You-Gan Wang (Comput. Math. Appl., 2024)

Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study. - Jin Yuan; Xuelan Qiu; Jinran Wu; Jiesi Guo; Weide Li; You-Gan Wang (CoRR, 2024)

Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noise. - Yilong Hou; Xi'an Li 004; Jinran Wu (CoRR, 2024)

Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting. - Yang Yang 052; Zijin Wang; Shangrui Zhao; Hu Zhou; Jinran Wu (Eng. Appl. Artif. Intell., 2024)

Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks. - Xi'an Li 004; Jinran Wu; Xin Tai; Jianhua Xu; You-Gan Wang (J. Comput. Phys., 2024)

Advancements in Q-learning meta-heuristic optimization algorithms: A survey. - Yang Yang 052; Yuchao Gao; Zhe Ding; Jinran Wu; Shaotong Zhang; Feifei Han; Xuelan Qiu; Shangce Gao; You-Gan Wang (WIREs Data. Mining. Knowl. Discov., 2024)

A survey on wind power forecasting with machine learning approaches. - Yang Yang 052; Hao Lou; Jinran Wu; Shaotong Zhang; Shangce Gao (Neural Comput. Appl., 2024)

Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting. - Yang Yang 052; Hao Lou; Zijin Wang; Jinran Wu (Appl. Intell., 2024)

Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. - Siyuan Liu; Jiaxin Deng; Jin Yuan; Weide Li; Xi'an Li 004; Jing Xu; Shaotong Zhang; Jinran Wu; You-Gan Wang (Earth Sci. Informatics, 2024)

Multiscale-integrated deep learning approaches for short-term load forecasting. - Yang Yang 052; Yuchao Gao; Zijin Wang; Xi'an Li 004; Hu Zhou; Jinran Wu (Int. J. Mach. Learn. Cybern., 2024)

A comprehensive review of artificial intelligence in Electrocardiogram diagnostics: Integrating knowledge map and meta-analysis approaches. - Yang Yang 052; Fenglin Zhu; Yuchao Gao; Zhihao Chen; Xi'an Li 004; Shangce Gao; Jinran Wu (Appl. Soft Comput., 2025)

Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equation. - Xi'an Li 004; Jinran Wu; Yujia Huang; Zhe Ding; Xin Tai; Liang Liu; You-Gan Wang (J. Comput. Appl. Math., 2025)

Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting. - Yang Yang 052; Yuchao Gao; Hu Zhou; Jinran Wu; Shangce Gao; You-Gan Wang (Neural Networks, 2025)

Normalized Fourier-induced PINN method for solving the wave propagation equation in a non-unitized domain over an extended time range. - Jichao Ma; Dandan Liu; Jinran Wu; Xi'an Li 004 (CoRR, 2025)

Inflation Transmission Diagnostics via a Bayesian Graph Vector Autoregressive Model with Markov Switching. - Jiali Fu; Fengjing Cai; Jinran Wu; Shangrui Zhao; You-Gan Wang (J. Syst. Sci. Complex., 2025)

An adaptive regression algorithm with a clustering process for multi-modal data prediction. - Shangrui Zhao; Weiqi Yu; Yulu Wu; Jinran Wu; Xi'an Li 004; You-Gan Wang (Discov. Comput., 2025)