Ya Tu

Orcid: 0000-0001-5081-5329

According to our database1, Ya Tu authored at least 26 papers between 2009 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Class-Incremental Learning for Recognition of Complex-Valued Signals.
IEEE Trans. Cogn. Commun. Netw., April, 2024

Edge-Enabled Modulation Classification in Internet of Underwater Things Based on Network Pruning and Ensemble Learning.
IEEE Internet Things J., April, 2024

STGNA: Spatial-Temporal Graph Convolutional Networks with Node Level Attention for Shortwave Communications Parameters Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
C-SRCIL: Complex-valued Class-Incremental Learning for Signal Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Collaborative Jamming Algorithm Based on Multi-UAV Scheduling.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022
Editorial: Intelligent Multimodal Information Processing in Mobile Multimedia (MOBIMEDIA 2020).
Mob. Networks Appl., December, 2022

2021
Adversarial Attacks in Modulation Recognition With Convolutional Neural Networks.
IEEE Trans. Reliab., 2021

Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer.
IEEE Trans. Cogn. Commun. Netw., 2021

A Pruning Neural Network for Automatic Modulation Classification.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

2020
Complex-Valued Networks for Automatic Modulation Classification.
IEEE Trans. Veh. Technol., 2020

An Improved Neural Network Pruning Technology for Automatic Modulation Classification in Edge Devices.
IEEE Trans. Veh. Technol., 2020

Threats of Adversarial Attacks in DNN-Based Modulation Recognition.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
Research on the Internet of Things Device Recognition Based on RF-Fingerprinting.
IEEE Access, 2019

Deep Neural Network Compression Technique Towards Efficient Digital Signal Modulation Recognition in Edge Device.
IEEE Access, 2019

A Node Self-Localization Algorithm With a Mobile Anchor Node in Underwater Acoustic Sensor Networks.
IEEE Access, 2019

Dynamic Channel Allocation for Multi-UAVs: A Deep Reinforcement Learning Approach.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

A Data-Driven Deep Neural Network Pruning Approach Towards Efficient Digital Signal Modulation Recognition.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Time-Related Network Intrusion Detection Model: A Deep Learning Method.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
An Ensemble Learning Method for Wireless Multimedia Device Identification.
Secur. Commun. Networks, 2018

Spectrum Prediction Based on Taguchi Method in Deep Learning With Long Short-Term Memory.
IEEE Access, 2018

Digital Signal Modulation Classification With Data Augmentation Using Generative Adversarial Nets in Cognitive Radio Networks.
IEEE Access, 2018

Design of Portable Power Supply System.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
The application of deep learning in communication signal modulation recognition.
Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

2012
Improved method of computer keyboard driver based on embedded linux.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2009
ECG Signal Preprocessing Based on Change Step Iteration of the LMS Adaptive Filtering Algorithm.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009


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