Weide Li

Orcid: 0000-0003-2288-4751

According to our database1, Weide Li authored at least 14 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
BCLCM-Palm: Bézier curve-guided latent consistency model for fine-grained palmprint generation.
Image Vis. Comput., 2026

2025
CLDM-Palm: A controllable latent diffusion model for high-fidelity palmprint generation based on Bézier curves.
Appl. Intell., October, 2025

DGI-GRU: Integrating dynamic graph convolution for enhanced spatio-temporal information extraction.
Neurocomputing, 2025

2024
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation.
Earth Sci. Informatics, December, 2024

Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study.
CoRR, 2024

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions.
Comput. Math. Appl., 2024

2023
A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction.
Remote. Sens., February, 2023

2022
An Interpretable Time Series Clustering Neural Network Based on Shape Feature Extraction.
Int. J. Pattern Recognit. Artif. Intell., 2022

2020
An improved evolution fruit fly optimization algorithm and its application.
Neural Comput. Appl., 2020

A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems.
Expert Syst. Appl., 2020

Using lattice SIS epidemiological model with clustered treatment to investigate epidemic control.
Biosyst., 2020

2019
Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines.
Knowl. Based Syst., 2019

Effective passenger flow forecasting using STL and ESN based on two improvement strategies.
Neurocomputing, 2019

2017
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


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