Yilin Jiang

Orcid: 0000-0002-9897-3980

According to our database1, Yilin Jiang authored at least 14 papers between 2005 and 2024.

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

Timeline

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Links

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Bibliography

2024
Adaptive Sparse Attention Wavelet Network for the Robust Open-Circuit Fault Diagnosis in PMSM Drives.
IEEE Trans. Instrum. Meas., 2024

Jamming Waveform Generation Method Based on Generative Adversarial Network Model.
IEEE Signal Process. Lett., 2024

Deep Learning-Based Active Jamming Suppression for Radar Main Lobe.
IET Signal Process., 2024

Deep reinforcement learning based decision making for radar jamming suppression.
Digit. Signal Process., 2024

2023
Radar Emitter Structure Inversion Method Based on Metric and Deep Learning.
Remote. Sens., October, 2023

Structural inversion of radar emitter based on stacked convolutional autoencoder and deep neural network.
IET Signal Process., February, 2023

Wide-angle monostatic radar cross section enhanced metasurface based on deep deterministic policy gradient.
IEICE Electron. Express, 2023

Early Diagnosis and Progression of Alzheimer's Disease Based on Long Short-Term Memory Model.
Proceedings of the 5th International Conference on Robotics, 2023

2022
Multi-subband fusion algorithm based on autoencoder.
IET Signal Process., December, 2022

The Development of Green Olympic Games: A Comparison of CO<sub>2</sub> Emission Reduction Strategies between PyeongChang 2018 and Beijing 2022.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2017
Image Recovery of an Infrared Sub-Imaging System Based on Compressed Sensing.
Symmetry, 2017

2016
Application of customer churn prediction based on weighted selective ensembles.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

2013
Improved bee colony algorithm based on knowledge strategy for digital filter design.
Int. J. Comput. Appl. Technol., 2013

2005
Studying the Explanatory Capacity of Artificial Neural Networks for Understanding Environmental Chemical Quantitative Structure-Activity Relationship Models.
J. Chem. Inf. Model., 2005


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