Rui Li

Orcid: 0000-0003-1770-906X

Affiliations:
  • Air Force Engineering University, College of Air and Missile Defense, Xi'an, China


According to our database1, Rui Li authored at least 16 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Quadruplet depth-wise separable fusion convolution neural network for ballistic target recognition with limited samples.
Expert Syst. Appl., January, 2024

2023
Group-Fusion One-Dimensional Convolutional Neural Network for Ballistic Target High-Resolution Range Profile Recognition with Layer-Wise Auxiliary Classifiers.
Int. J. Comput. Intell. Syst., December, 2023

2022
SAR Target Recognition Based on Efficient Fully Convolutional Attention Block CNN.
IEEE Geosci. Remote. Sens. Lett., 2022

FVAE: a regularized variational autoencoder using the Fisher criterion.
Appl. Intell., 2022

2021
Hierarchical extreme learning machine with L21-norm loss and regularization.
Int. J. Mach. Learn. Cybern., 2021

Robust and structural sparsity auto-encoder with L21-norm minimization.
Neurocomputing, 2021

One-dimensional convolutional neural networks for high-resolution range profile recognition via adaptively feature recalibrating and automatically channel pruning.
Int. J. Intell. Syst., 2021

2020
Stacked Fusion Supervised Auto-encoder with an Additional Classification Layer.
Neural Process. Lett., 2020

One-dimension hierarchical local receptive fields based extreme learning machine for radar target HRRP recognition.
Neurocomputing, 2020

Network Intrusion Detection Based on Conditional Wasserstein Generative Adversarial Network and Cost-Sensitive Stacked Autoencoder.
IEEE Access, 2020

Discriminative Auto-Encoder With Local and Global Graph Embedding.
IEEE Access, 2020

2019
Representation learning by hierarchical ELM auto-encoder with double random hidden layers.
IET Comput. Vis., 2019

L<sub>21</sub>-Norm Based Loss Function and Regularization Extreme Learning Machine.
IEEE Access, 2019

A Fast Two-Stage Extreme Learning Machine.
Proceedings of the 2019 3rd International Conference on Deep Learning Technologies, 2019

Fruit Image Classification Based on MobileNetV2 with Transfer Learning Technique.
Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019

2017
基于RVM的多类分类概率输出方法 (Multi-class Probability Output Based on Relevance Vector Machine).
计算机科学, 2017


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