📡 Publications & Code

🔬 Research Group Overview

We focus on physical-layer security and AI-driven wireless communications, with research spanning:

| Research Area | Description | |---------------|-------------| | SEI / RFF | Specific Emitter Identification & RF Fingerprinting | | AMC / WTR | Automatic Modulation Classification & Wireless Technology Recognition | | Wireless Communications | Power Amplifier Modeling, Beam Prediction | | Ubiquitous Sensing | Localization, Activity Recognition, Scenario Identification | | Network Security | Malware Traffic Classification, Device Identification | | Remote Sensing | Multimodal Land Cover Classification, Road Extraction | | Spectrum & Resource | Spectrum Prediction, Resource Allocation |

📚 Publications by Topic

1️⃣ SEI / RF Fingerprinting

| Year | Title | Venue | Links | |:----:|-------|-------|:-----:| | 2025 | A Comprehensive Survey on Self Supervised Learning for Specific Emitter Identification | IEEE Commun. Surveys Tuts. | Paper · Code | | 2025 | Cross-Channel Specific Emitter Identification via Meta-Feature Augmentation-Enhanced Few-Shot Learning | IEEE IoT-J | Paper · Code | | 2025 | Receiver-Agnostic Radio Frequency Fingerprinting via Domain Invariant Feature Learning | IEEE Commun. Lett. | Paper · Code | | 2025 | Toward Robust Radio Frequency Fingerprint Identification via Adaptive Semantic Augmentation | IEEE TIFS | Paper · Code | | 2025 | Avoiding Shortcuts: Enhancing Channel Robust Specific Emitter Identification via Single Source Domain Generalization | IEEE Trans. Wireless Commun. | Paper · Code | | 2025 | Consistency Guided Robust Learning for Content Agnostic Radio Frequency Fingerprinting | IEEE Commun. Lett. | Paper · Code | | 2024 | Enhanced Specific Emitter Identification With Limited Data Through Dual Implicit Regularization | IEEE IoT-J | Paper · Code | | 2024 | Robust Specific Emitter Identification With Sample Selection and Regularization Under Label Noise | IEEE IoT-J | Paper · Code | | 2024 | Toward Robust Open Set Radio Frequency Signal Identification in Internet of Things Using Hypersphere Manifold Embedding | IEEE IoT-J | Paper · Code | | 2024 | Toward Intelligent Lightweight and Efficient UAV Identification With RF Fingerprinting | IEEE IoT-J | Paper · Code | | 2023 | Semi-Supervised Specific Emitter Identification Method Using Metric Adversarial Training | IEEE IoT-J | Paper · Code | | 2023 | Semi-Supervised Specific Emitter Identification via Dual Consistency Regularization | IEEE IoT-J | Paper · Code | | 2023 | Interpolative Metric Learning for Few Shot Specific Emitter Identification | IEEE TVT | Paper · Code | | 2023 | Few-Shot Specific Emitter Identification Using Asymmetric Masked Auto Encoder | IEEE Commun. Lett. | Paper · Code | | 2023 | Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning | IEEE ICC | Paper · Code | | 2023 | Resource Constrained Specific Emitter Identification Using End-to-End Sparse Feature Selection | IEEE GLOBECOM | Paper · Code | | 2023 | Few-Shot Specific Emitter Identification Method Using Rotation Feature Decoupling for Secure 6G | IEEE ICCT | Paper · Code | | 2023 | A Robust Few-Shot SEI Method Using Class Reconstruction and Adversarial Training | IEEE VTC Fall | Paper · Code | | 2023 | NASEI: Neural Architecture Search Based Specific Emitter Identification Method | IEEE VTC Spring | Paper · Code | | 2022 | Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning | IEEE IoT-J | Paper · Code | | 2021 | An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression | IEEE JSAC | Paper · Code | | 2024 | Overcoming Data Limitations: A Few Shot Specific Emitter Identification Method Using Self Supervised Learning and Adversarial Augmentation | IEEE TIFS | Paper · Code |

2️⃣ AMC / Wireless Technology Recognition

| Year | Title | Venue | Links | |:----:|-------|-------|:-----:| | 2025 | Energy Efficient Wireless Technology Recognition Method Using Time Frequency Feature Fusion Spiking Neural Networks | IEEE TIFS | Paper · Code | | 2022 | Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition | IEEE TCCN | Paper · Code | | 2022 | A Lightweight Decentralized Learning Based Automatic Modulation Classification Method for Resource Constrained Edge Devices | IEEE IoT-J | Paper · Code | | 2022 | An Effective Radio Frequency Signal Classification Method Based on Multi-Task Learning Mechanism | IEEE VTC Fall | Paper · Code | | 2020 | Deep Learning Based Cooperative Automatic Modulation Classification Method for MIMO Systems | IEEE TVT | Paper · Code |

3️⃣ Wireless Communications & Signal Processing

| Year | Title | Venue | Links | |:----:|-------|-------|:-----:| | 2026 | Power Amplifier Behavioral Modeling Using Bio-Inspired Multi-Resolution Dynamic Neural Network | IEEE TCE | Paper · Code | | 2025 | Advancing Multi-Modal Beam Prediction with Cross Modal Feature Enhancement and Dynamic Fusion Mechanism | IEEE Trans. Commun. | Paper · Code | | 2025 | Behavioral Modeling of Power Amplifiers Leveraging Multi-Channel Convolutional Long Short Term Deep Neural Network | IEEE TVT | Paper · Code | | 2023 | Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave Systems | IEEE TVT | Paper · Code |

4️⃣ Ubiquitous Sensing

| Year | Title | Venue | Links | |:----:|-------|-------|:-----:| | 2026 | ViSpa: Visual-Spatial Interactive Fusion for 3D UAV Localization in mmWave Communications | IEEE Commun. Lett. | Paper · Code | | 2025 | Bio-Inspired Dendritic Liquid Neural Network for Robust Near Field Positioning in B5G/6G | IEEE Wireless Commun. Lett. | Paper · Code | | 2025 | Regularized Multi-Label Learning Empowered Joint Activity Recognition and Indoor Localization With CSI Fingerprints | IEEE Trans. Wireless Commun. | Paper · Code | | 2022 | MobileNet and Knowledge Distillation Based Automatic Scenario Recognition Method in Vehicle to Vehicle Systems | IEEE TVT | Paper · Code | | 2022 | Cross-Person Activity Recognition Method Using Snapshot Ensemble