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)

Effective passenger flow forecasting using STL and ESN based on two improvement strategies. - Lan Qin; Weide Li; Shijia Li (Neurocomputing, 2019)

Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines. - Ailing Yang; Weide Li; Xuan Yang (Knowl. Based Syst., 2019)

Using lattice SIS epidemiological model with clustered treatment to investigate epidemic control. - Shipeng Nie; Weide Li (Biosyst., 2020)

A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems. - Hui Chen 026; Weide Li; Xuan Yang (Expert Syst. Appl., 2020)

An improved evolution fruit fly optimization algorithm and its application. - Xuan Yang; Weide Li; Lili Su; Yaling Wang; Ailing Yang (Neural Comput. Appl., 2020)

An Interpretable Time Series Clustering Neural Network Based on Shape Feature Extraction. - Weide Li; Zihan Hao; Zhihe Zhang (Int. J. Pattern Recognit. Artif. Intell., 2022)

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)

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)

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)

DGI-GRU: Integrating dynamic graph convolution for enhanced spatio-temporal information extraction. - Xinru Liu; Weide Li; Da Zhou (Neurocomputing, 2025)