Xu Zhu

Affiliations:
  • Toshiba Corporation, Corporate Research and Development Center, Japan
  • University of Electro-Communications, dvanced Wireless Communication Research Center, Tokyo, Japan


According to our database1, Xu Zhu authored at least 12 papers between 2015 and 2020.

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

Timeline

2015
2016
2017
2018
2019
2020
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3
4
1
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3
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2
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Convolutional Neural Networks for Pilot-Induced Cyclostationarity Based OFDM Signals Spectrum Sensing in Full-Duplex Cognitive Radio.
IEICE Trans. Commun., 2020

2019
Ensemble Deep Learning Based Cooperative Spectrum Sensing with Semi-soft Stacking Fusion Center.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Adversarial training for low-complexity convolutional neural networks using in spectrum sensing.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

Cyclostationary based full-duplex spectrum sensing using adversarial training for convolutional neural networks.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

2018
A New Classification-Like Scheme for Spectrum Sensing Using Spectral Correlation and Stacked Denoising Autoencoders.
IEICE Trans. Commun., 2018

Ensemble Deep Learning Based Cooperative Spectrum Sensing with Stacking Fusion Center.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
Modulation classification for cognitive radios using stacked denoising autoencoders.
Int. J. Satell. Commun. Netw., 2017

A modulation classification method in cognitive radios system using stacked denoising sparse autoencoder.
Proceedings of the 2017 IEEE Radio and Wireless Symposium, 2017

Primary user detection in cognitive radio using spectral-correlation features and stacked denoising autoencoder.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2016
A novel modulation classification method in cognitive radios based on features clustering of time-frequency.
Proceedings of the 2016 IEEE Radio and Wireless Symposium, 2016

A novel modulation classification method in cognitive radios using higher-order cumulants and denoising stacked sparse autoencoder.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015
Modulation classification in cognitive radios for satellite and terrestrial systems.
Proceedings of the IEEE International Conference on Communication, 2015


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