Keqiang Yue

Orcid: 0000-0003-0880-9798

According to our database1, Keqiang Yue authored at least 27 papers between 2014 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DS-Pnet: Low-Complexity Deep Learning-Based Positioning With FM Signal Downsampling.
IEEE Trans. Veh. Technol., March, 2026

Enhancing the Robustness of UAV Search Path Planning Based on Deep Reinforcement Learning for Complex Disaster Scenarios.
IEEE Trans. Veh. Technol., January, 2026

Multi-Task Adversarial Attacks for Wireless Communication Signals.
IEEE Trans. Commun., 2026

Black-Box Attacks on DOA Estimation.
IEEE Trans. Cogn. Commun. Netw., 2026

Class Feature Space Reconstruction for Automatic Modulation Open Set Recognition.
IEEE Trans. Cogn. Commun. Netw., 2026

SMTrans: An efficient automatic modulation recognition network based on the scale-aware modulation transformer.
Phys. Commun., 2026

Open set recognition for drone based on deep metric learning.
Phys. Commun., 2026

MSM-Pnet: Multiscale-Masked Transformer Pretraining for FM-Based Positioning.
IEEE Internet Things J., 2026

Class-aware contrastive learning for radio signal generalized category discovery.
Eng. Appl. Artif. Intell., 2026

2025
A transformer-based framework with complex-valued convolution and enhanced Bi-LSTM for automatic modulation recognition.
Phys. Commun., 2025

2024
Research on path planning in UAV-assisted emergency communication.
EURASIP J. Wirel. Commun. Netw., December, 2024

Learning improvement of spiking neural networks with dynamic adaptive hyperparameter neurons.
Appl. Intell., October, 2024

AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recovery.
IEEE Trans. Wirel. Commun., September, 2024

Adversarial attacks and adversarial training for burn image segmentation based on deep learning.
Medical Biol. Eng. Comput., September, 2024

A knowledge distillation strategy for enhancing the adversarial robustness of lightweight automatic modulation classification models.
IET Commun., August, 2024

Detection of DSSS Signals Based on Autocorrelation Compressed Sampling and Deep Learning.
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

2023
OFDM sensing based on deep learning.
Phys. Commun., December, 2023

Convolutional neural network for screening of obstructive sleep apnea using snoring sounds.
Biomed. Signal Process. Control., September, 2023

Attention-Based Convolutional Neural Network for Ingredients Identification.
Entropy, February, 2023

2022
Path Planning Research of a UAV Base Station Searching for Disaster Victims' Location Information Based on Deep Reinforcement Learning.
Entropy, December, 2022

Deep Reinforcement Learning Based Decision Making for Complex Jamming Waveforms.
Entropy, 2022

A Spiking Neural Network Based on Retinal Ganglion Cells for Automatic Burn Image Segmentation.
Entropy, 2022

Automated sleep apnea detection in snoring signal using long short-term memory neural networks.
Biomed. Signal Process. Control., 2022

Simulation and Experimental Study of Bladder Filling Degree based on a High-Fidelity 3D Model of The Lower Abdomen Built by CT Image.
Proceedings of the 7th International Conference on Biomedical Imaging, Signal Processing, 2022

2021
A Framework for Automatic Burn Image Segmentation and Burn Depth Diagnosis Using Deep Learning.
Comput. Math. Methods Medicine, 2021

Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNN.
Comput. Intell. Neurosci., 2021

2014
DCSK Multi-Access Scheme for UHF RFID System.
J. Networks, 2014


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