Weide Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Diffusion Equation

Least Squares Support Vector Machine

Linear Feature Extraction

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

Comput. Intell. Neurosci.

Publications

Xi-An Li, Jiaxin Deng, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. Comput. Math. Appl. 159 (2024)
Jin Yuan, Xuelan Qiu, Jinran Wu, Jiesi Guo, Weide Li, You-Gan Wang
Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study. CoRR (2024)
Zihan Hao, Weide Li, Jinran Wu, Shaotong Zhang, Shujuan Hu
A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction. Remote. Sens. 15 (4) (2023)
Jiaxin Deng, Xi'an Li, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. CoRR (2023)
Weide Li, Zihan Hao, Zhihe Zhang
An Interpretable Time Series Clustering Neural Network Based on Shape Feature Extraction. Int. J. Pattern Recognit. Artif. Intell. 36 (13) (2022)
Shipeng Nie, Weide Li
Using lattice SIS epidemiological model with clustered treatment to investigate epidemic control. Biosyst. (2020)
Xuan Yang, Weide Li, Lili Su, Yaling Wang, Ailing Yang
An improved evolution fruit fly optimization algorithm and its application. Neural Comput. Appl. 32 (14) (2020)
Hui Chen, Weide Li, Xuan Yang
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems. Expert Syst. Appl. 158 (2020)
Ailing Yang, Weide Li, Xuan Yang
Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines. Knowl. Based Syst. 163 (2019)
Lan Qin, Weide Li, Shijia Li
Effective passenger flow forecasting using STL and ESN based on two improvement strategies. Neurocomputing 356 (2019)
Weide Li, Demeng Kong, Jinran Wu
A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China. Comput. Intell. Neurosci. 2017 (2017)