Duona Zhang

Orcid: 0000-0002-5567-0816

According to our database1, Duona Zhang authored at least 14 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
APDMs: Adversarial purification diffusion models for automatic modulation classification.
Signal Process., 2026

Cross-attention relation network based on metric learning for few-shot specific emitter identification.
Pattern Recognit., 2026

A semi-supervised multimodal fusion approach for automatic modulation classification with label scarcity.
Digit. Signal Process., 2026

2025
Frequency-learning adversarial networks based on transfer learning for cross-scenario signal modulation classification.
Frontiers Inf. Technol. Electron. Eng., May, 2025

Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Knowledge Embedding Networks Based on Deep Learning for Automatic Modulation Classification in Cognitive Radio.
IEEE Trans. Commun., December, 2024

Decentralized User Allocation and Dynamic Service for Multi-UAV-Enabled MEC System.
IEEE Trans. Veh. Technol., January, 2024

Deep learning-based fusion networks with high-order attention mechanism for 3D object detection in autonomous driving scenarios.
Appl. Soft Comput., 2024

2023
High-Order Convolutional Attention Networks for Automatic Modulation Classification in Communication.
IEEE Trans. Wirel. Commun., July, 2023

Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication.
Pattern Recognit., May, 2023

Multiscale Correlation Networks Based on Deep Learning for Automatic Modulation Classification.
IEEE Signal Process. Lett., 2023

2021
Learning modulation filter networks for weak signal detection in noise.
Pattern Recognit., 2021

2020
Modulated Autocorrelation Convolution Networks for Automatic Modulation Classification Based on Small Sample Set.
IEEE Access, 2020

2018
Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles.
Sensors, 2018


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