付雪｜云南大学｜学者主页

2026

FedSNN-WTR: An Energy-Efficient and Channel-Robust Wireless Technology Recognition Framework for Vehicular Communications

Li-Fan Hu, Xue Fu, Haipeng Chen, Xin Gu, Cheng Chang, Tian-Tian Tang, Yun Lin, Guan Gui

IEEE Transactions on Cognitive Communications and Networking

DOI

2026

Cross-Channel Specific Emitter Identification via Meta-Feature Augmentation-Enhanced Few-Shot Learning

Xue Fu, Yu Wang, Xi-Long Liu, Jun Chang, Guan Gui

IEEE Internet of Things Journal

DOI

2025

面向射频指纹信号分析与智能识别的研究综述

闫高丽，付雪，王禹，桂冠

《南通大学学报(自然科学版)》

2025

Energy-Efficient Wireless Technology Recognition Method Using Time-Frequency Feature Fusion Spiking Neural Networks

Li-Fan Hu, Yu Wang, Xue Fu, Lan-Tu Guo, Yun Lin, Guan Gui

IEEE Transactions on Information Forensics and Security

DOI

2025

Open-Set Specific Emitter Identification Leveraging Enhanced Metric Denoising Autoencoders

Shennan Huang, Lan-Tu Guo, Xue Fu, Yang Peng, Yong-An Guo, Yu Wang, Qian-Yun Zhang, Guan Gui, Hikmet Sari

IEEE Internet of Things Journal

DOI

2025

Toward Collaborative and Cross-Environment UAV Classification: Federated Semantic Regularization

Xue Fu, Yu Wang, Yun Lin, Tomoaki Ohtsuki, B. Adebisi, Guan Gui, Hikmet Sari

IEEE Transactions on Information Forensics and Security

DOI

2025

Enhanced Few-Shot Specific Emitter Identification via Phase Shift Prediction and Decoupling

Lai Xu, Xue Fu, Yu Wang, Qian-Yun Zhang, Haitao Zhao, Yun Lin, Guan Gui

IEEE Transactions on Cognitive Communications and Networking

DOI

2025

Enhanced Radio Frequency Fingerprint Identification Using Length-Robust Representation and Incremental Learning

Feng Shi, Hong Wan, Ziqin Feng, Xue Fu, Qin Wang, Qi Xuan, Yun Lin, Guan Gui

IEEE Internet of Things Journal

DOI

2025

Channel-Distortion-Agnostic Specific Emitter Identification Based on Decentralized Learning

Yuchao Liu, Shu-Guo Xie, Xiao Sun, Xue Fu, Guan Gui

IEEE Internet of Things Journal

DOI

2025

Channel-Robust Few-Shot Specific Emitter Identification Using Meta-Feature Augmentation

Xue Fu, Francesca Meneghello, Yu Wang, Tomoaki Ohtsuki, Chau Yuen, Guan Gui, Hikmet Sari

IEEE Wireless Communications and Networking Conference

DOI

2025

Robust Few-Shot Specific Emitter Identification Using Multi-View Feature Fusion with Attention

Gao-Li Yan, Xue Fu, Yu Wang, Haris Gačanin, Hikmet Sari, Guan Gui

2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)

DOI

2025

Radio frequency fingerprint identification towards statistical and deep learning features: Review, recent results and future directions

Gao-Li Yan, Xue Fu, Yu Wang, Qian-Yun Zhang, Guan Gui

Peer-to-Peer Networking and Applications

DOI

2024

A Novel Semi-Supervised Learning Method Using Self-Adaptive Threshold for UAV Recognition

Gejiacheng Lu, Xue Fu, Ju-Zhen Wang, Hao Huang, Yu Wang, Yun Lin, Guan Gui

IEEE Vehicular Technology Conference

DOI

2024

Robust Specific Emitter Identification With Sample Selection and Regularization Under Label Noise

Mengyuan Tao, Xue Fu, Qian-Yun Zhang, Ju-Zhen Wang, Yu Wang, Hao Huang, Yun Lin, Guan Gui

IEEE Internet of Things Journal

DOI

2024

Enhanced Wireless Technology Recognition Method Using Energy-Efficient Spiking Neural Networks

Li-Fan Hu, Yu Wang, Xue Fu, Hao Huang, Shengnan Shi, Lan-Tu Guo, Yun Lin, Guan Gui

2024 Sixth International Conference on Next Generation Data-driven Networks (NGDN)

DOI

2024

VC-SEI: Robust Variable-Channel Specific Emitter Identification Method Using Semi-Supervised Domain Adaptation

Hong Wan, Qin Wang, Xue Fu, Yu Wang, Haitao Zhao, Yun Lin, Hikmet Sari, Guan Gui

IEEE Transactions on Wireless Communications

DOI

2024

Hypersphere Projection-Guided Radio Frequency Fingerprinting Authentication in the Open World

Xue Fu, Yu Wang, Yun Lin, Qian-Yun Zhang, Guan Gui, Tomoaki Ohtsuki, Hikmet Sari

IEEE Vehicular Technology Conference

DOI

2024

Joint Variational Modal Decomposition for Specific Emitter Identification With Multiple Sensors

Xiaofang Chen, Xue Fu, Wen-Bo Xu, Yue Wang, Guan Gui

IEEE Transactions on Information Forensics and Security

DOI

2024

Overcoming Data Limitations: A Few-Shot Specific Emitter Identification Method Using Self-Supervised Learning and Adversarial Augmentation

Chao Liu, Xue Fu, Yu Wang, Lan-Tu Guo, Yuchao Liu, Yun Lin, Haitao Zhao, Guan Gui

IEEE Transactions on Information Forensics and Security

DOI

2024

Enhanced Semi-Supervised Radar Emitter Identification via Virtual Adversarial Training

Hong Wan, Ziqin Feng, Qian-Yun Zhang, Yu Wang, Xue Fu, Yun Lin, Fumiyuki Adachi, Guan Gui

IEEE Vehicular Technology Conference

DOI

2024

Enhanced Specific Emitter Identification Using Multi-Sampling Convolutional Attention Network

Huan Cao, Xue Fu, Peng Yin, Yu Wang, Hao Huang, Shengnan Shi, Guan Gui

International Conference on Wireless Communications and Signal Processing

DOI

2024

Toward Robust Open-Set Radiofrequency Signal Identification in Internet of Things Using Hypersphere Manifold Embedding

Xue Fu, Yu Wang, Yun Lin, Tomoaki Ohtsuki, Guan Gui, Hikmet Sari

IEEE Internet of Things Journal

DOI

2023

Resource-Constrained Specific Emitter Identification Using End-to-End Sparse Feature Selection

Mengyuan Tao, Xue Fu, Yun Lin, Yu Wang, Zhisheng Yao, Shengnan Shi, Guan Gui

Global Communications Conference

DOI

2023

Automatic Modulation Classification Based on Decentralized Learning and Model Averaging

Yunhe Xu, Min Ma, Xue Fu, Yu Wang, Guan Gui, T. Ohtsuki

Conference on Computer Communications Workshops

DOI

2023

Few-Shot Specific Emitter Identification Using Asymmetric Masked Auto-Encoder

Zhisheng Yao, Xue Fu, Lan-Tu Guo, Yu Wang, Yun Lin, Shengnan Shi, Guan Gui

IEEE Communications Letters

DOI

2023

Variable-Channel Specific Emitter Identification Method Using Semi-Supervised Domain Adaptation

Hong Wan, Gao-Li Yan, Fu-Cheng Miao, Xue Fu, Yu Wang, B. Adebisi, Yun Lin, Hikmet Sari, Guan Gui

International Conference on Speech Technology and Human-Computer Dialogue

DOI

2023

Few-Shot Domain Adaption-Based Specific Emitter Identification Under Varying Modulation

Lijun Yin, Xue Fu, Shengnan Shi, Peng-Fei Liu, Yun Lin, Yu Wang, Hikmet Sari

International Conference on Speech Technology and Human-Computer Dialogue

DOI

2023

Intelligent Specific Emitter Identification Using Complex-Valued Convolutional Neural Network

Gao-Li Yan, Zhen-Xin Cai, Yuchao Liu, Hong Wan, Xue Fu, Yu Wang, Guan Gui

International Conference on Speech Technology and Human-Computer Dialogue

DOI

2023

Semi-Supervised Specific Emitter Identification via Dual Consistency Regularization

Xue Fu, Shengnan Shi, Yu Wang, Yun Lin, Guan Gui, O. Dobre, Shiwen Mao

IEEE Internet of Things Journal

DOI

2023

An Efficient RFF Extraction Method Using Asymmetric Masked Auto-Encoder

Zhisheng Yao, Xue Fu, Shufei Wang, Yu Wang, Guan Gui, Shi-Wen Mao

Asia-Pacific Conference on Communications

DOI

2023

Radio Frequency Fingerprint Identification Based on Length-Robust Representation and Incremental Learning

Feng Shi, Ziqin Feng, Fu-Cheng Miao, Xue Fu, B. Adebisi, Tomoaki Ohtsuki, Hikmet Sari, Guan Gui

International Conference on Speech Technology and Human-Computer Dialogue

DOI

2023

Few-Shot Specific Emitter Identification Method Using Rotation Feature Decoupling for Secure 6G

Lai Xu, Wenjuan Shi, Xue Fu, Hua Xu, Yu Wang, B. Adebisi, Guan Gui

International Conference on Speech Technology and Human-Computer Dialogue

DOI

2023

Automatic Modulation Classification Using Deep Residual Neural Network with Masked Modeling for Wireless Communications

Yang Peng, Lan-Tu Guo, Jun Yan, Mengyuan Tao, Xue Fu, Yun Lin, Guan Gui

Drones

DOI

2023

Interpolative Metric Learning for Few-Shot Specific Emitter Identification

Cheng Wang, Xue Fu, Yu Wang, Guan Gui, Haris Gačanin, H. Sari, Fumiyuki Adachi

IEEE Transactions on Vehicular Technology

DOI

2023

Decentralized Learning and Model Averaging Based Automatic Modulation Classification in Drone Communication Systems

Min Ma, Yunhe Xu, Zhi Wang, Xue Fu, Guan Gui

Drones

DOI

2022

基于轻量化分布式学习的自动调制分类方法

杨洁，董标，付雪，王禹，桂冠

《通信学报》

2022

Automatic Modulation Classification Based on Decentralized Learning and Ensemble Learning

Xue Fu, Guan Gui, Yu Wang, Haris Gačanin, F. Adachi

IEEE Transactions on Vehicular Technology

DOI

2022

Decentralized Automatic Modulation Classification Method Based on Lightweight Neural Network

Biao Dong, Guo-Zhen Xu, Xue Fu, Heng Dong, Guan Gui, Haris Gačanin, F. Adachi

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

DOI

2022

Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training

Xue Fu, Yang Peng, Yuchao Liu, Yun Lin, Guan Gui, Haris Gačanin, F. Adachi

IEEE Internet of Things Journal

DOI

2022

A Novel Semi-Supervised Learning Framework for Specific Emitter Identification

Xue Fu, Yu Wang, Yun Lin, Guan Gui, Haris Gačanin, F. Adachi

IEEE Vehicular Technology Conference

DOI

2022

A Robust Few-Shot SEI Method Using Class-Reconstruction and Adversarial Training

Chao Liu, Xue Fu, Yun-Lu Ge, Yu Wang, Yun Lin, Guan Gui, H. Sari

IEEE Vehicular Technology Conference

DOI

2022

Lightweight Automatic Modulation Classification Based on Decentralized Learning

Xue Fu, Guan Gui, Yu Wang, T. Ohtsuki, B. Adebisi, Haris Gačanin, F. Adachi

IEEE Transactions on Cognitive Communications and Networking

DOI

2022

Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning

Ze Yang, Xue Fu, Guan Gui, Yun Lin, Haris Gačanin, H. Sari, F. Adachi

ICC 2023 - IEEE International Conference on Communications

DOI

2022

A Lightweight Decentralized-Learning-Based Automatic Modulation Classification Method for Resource-Constrained Edge Devices

Biao Dong, Yuchao Liu, Guan Gui, Xue Fu, Heng Dong, B. Adebisi, Haris Gačanin, H. Sari

IEEE Internet of Things Journal

DOI

2021

Lightweight Network and Model Aggregation for Automatic Modulation Classification in Wireless Communications

Xue Fu, Guan Gui, Yu Wang, T. Ohtsuki, B. Adebisi, Haris Gačanin, F. Adachi

IEEE Wireless Communications and Networking Conference

DOI

2021

Lightweight Network Design Based on ResNet Structure for Modulation Recognition

Xiao Lu, Mengyuan Tao, Xue Fu, Guan Gui, T. Ohtsuki, H. Sari

IEEE Vehicular Technology Conference

DOI

精选作品

期刊论文

FedSNN-WTR: An Energy-Efficient and Channel-Robust Wireless Technology Recognition Framework for Vehicular Communications

Cross-Channel Specific Emitter Identification via Meta-Feature Augmentation-Enhanced Few-Shot Learning

面向射频指纹信号分析与智能识别的研究综述

Energy-Efficient Wireless Technology Recognition Method Using Time-Frequency Feature Fusion Spiking Neural Networks

Open-Set Specific Emitter Identification Leveraging Enhanced Metric Denoising Autoencoders

Toward Collaborative and Cross-Environment UAV Classification: Federated Semantic Regularization

Enhanced Few-Shot Specific Emitter Identification via Phase Shift Prediction and Decoupling

Enhanced Radio Frequency Fingerprint Identification Using Length-Robust Representation and Incremental Learning

Channel-Distortion-Agnostic Specific Emitter Identification Based on Decentralized Learning

Channel-Robust Few-Shot Specific Emitter Identification Using Meta-Feature Augmentation

Robust Few-Shot Specific Emitter Identification Using Multi-View Feature Fusion with Attention

Radio frequency fingerprint identification towards statistical and deep learning features: Review, recent results and future directions

A Novel Semi-Supervised Learning Method Using Self-Adaptive Threshold for UAV Recognition

Robust Specific Emitter Identification With Sample Selection and Regularization Under Label Noise

Enhanced Wireless Technology Recognition Method Using Energy-Efficient Spiking Neural Networks

VC-SEI: Robust Variable-Channel Specific Emitter Identification Method Using Semi-Supervised Domain Adaptation

Hypersphere Projection-Guided Radio Frequency Fingerprinting Authentication in the Open World

Joint Variational Modal Decomposition for Specific Emitter Identification With Multiple Sensors

Overcoming Data Limitations: A Few-Shot Specific Emitter Identification Method Using Self-Supervised Learning and Adversarial Augmentation

Enhanced Semi-Supervised Radar Emitter Identification via Virtual Adversarial Training

Enhanced Specific Emitter Identification Using Multi-Sampling Convolutional Attention Network

Toward Robust Open-Set Radiofrequency Signal Identification in Internet of Things Using Hypersphere Manifold Embedding

Resource-Constrained Specific Emitter Identification Using End-to-End Sparse Feature Selection

Automatic Modulation Classification Based on Decentralized Learning and Model Averaging

Few-Shot Specific Emitter Identification Using Asymmetric Masked Auto-Encoder

Variable-Channel Specific Emitter Identification Method Using Semi-Supervised Domain Adaptation

Few-Shot Domain Adaption-Based Specific Emitter Identification Under Varying Modulation

Intelligent Specific Emitter Identification Using Complex-Valued Convolutional Neural Network

Semi-Supervised Specific Emitter Identification via Dual Consistency Regularization

An Efficient RFF Extraction Method Using Asymmetric Masked Auto-Encoder

Radio Frequency Fingerprint Identification Based on Length-Robust Representation and Incremental Learning

Few-Shot Specific Emitter Identification Method Using Rotation Feature Decoupling for Secure 6G

Automatic Modulation Classification Using Deep Residual Neural Network with Masked Modeling for Wireless Communications

Interpolative Metric Learning for Few-Shot Specific Emitter Identification

Decentralized Learning and Model Averaging Based Automatic Modulation Classification in Drone Communication Systems

基于轻量化分布式学习的自动调制分类方法

Automatic Modulation Classification Based on Decentralized Learning and Ensemble Learning

Decentralized Automatic Modulation Classification Method Based on Lightweight Neural Network

Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training

A Novel Semi-Supervised Learning Framework for Specific Emitter Identification

A Robust Few-Shot SEI Method Using Class-Reconstruction and Adversarial Training

Lightweight Automatic Modulation Classification Based on Decentralized Learning

Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning

A Lightweight Decentralized-Learning-Based Automatic Modulation Classification Method for Resource-Constrained Edge Devices

Lightweight Network and Model Aggregation for Automatic Modulation Classification in Wireless Communications

Lightweight Network Design Based on ResNet Structure for Modulation Recognition

研究方向