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2020 – today
- 2024
[j10]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: 60-75 (2024)- [j9]Siyuan Liu, Jiaxin Deng, Jin Yuan, Weide Li, Xi'an Li, Jing Xu, Shaotong Zhang, Jinran Wu, You-Gan Wang:
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. Earth Sci. Informatics 17(6): 5135-5148 (2024) - [i2]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 abs/2406.11847 (2024) - 2023
- [j8]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): 900 (2023) - [i1]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 abs/2306.12749 (2023) - 2022
- [j7]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): 2254022:1-2254022:23 (2022) - 2020
- [j6]Shipeng Nie, Weide Li:
Using lattice SIS epidemiological model with clustered treatment to investigate epidemic control. Biosyst. 191-192: 104119 (2020) - [j5]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: 113612 (2020) - [j4]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): 9897-9914 (2020)
2010 – 2019
- 2019
- [j3]Lan Qin, Weide Li, Shijia Li:
Effective passenger flow forecasting using STL and ESN based on two improvement strategies. Neurocomputing 356: 244-256 (2019) - [j2]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: 159-173 (2019) - 2017
- [j1]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: 2843651:1-2843651:11 (2017)
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