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We focus on physical-layer security and AI-driven wireless communications. Our work spans the following directions:
| Research Area | Description |
|---|---|
| 🛡️ SEI / RFF | Specific Emitter Identification & Radio Frequency 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 |
| Year | Title | Venue | Links |
|---|---|---|---|
| 2026 | Wavelet-Guided Frequency Decoupling for Channel-Robust UAV RFFI | IEEE WCL | Paper · Code |
| 2026 | ASKNet: Adaptive Spectral Koopman Network for Cross-Domain Radio Frequency Fingerprinting | IEEE CL | Paper · Code |
| 2026 | Information Bottleneck-Driven Cross-Receiver RF Fingerprinting for Physical-Layer Security | IEEE TIFS | Paper · Code |
| 2026 | WaveMLP: Cross-Receiver-Day RF Fingerprinting with Learnable Complex Wavelets | IMNS'26 | Paper · Code |
| 2026 | Label-Free Performance Estimation for RF Fingerprinting Under Varying Channels | ICCC'26 | Paper · Code |
| 2025 | A Comprehensive Survey on Self-Supervised Learning for Specific Emitter Identification | IEEE COMST | Paper · Code |
| 2025 | Robust Cross-Domain Drone RFFI Method Using Domain-Invariant Adversarial Learning and Manifold Regularization | IEEE TCCN | 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 CL | 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 TWC | Paper · Code |
| 2025 | Consistency-Guided Robust Learning for Content-Agnostic Radio Frequency Fingerprinting | IEEE CL | Paper · Code |
| 2025 | Self-Supervised Learning and Adaptive Pseudo-Labeling for Enhancing UAV Recognition Under Label Scarcity | IEEE IoTJ | 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 IoT Using Hypersphere Manifold Embedding | IEEE IoT-J | Paper · Code |
| 2024 | Overcoming Data Limitations: A Few-Shot SEI Method Using Self-Supervised Learning and Adversarial Augmentation | IEEE TIFS | 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 CL | 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 |
| Year | Title | Venue | Links |
|---|---|---|---|
| 2026 | Harnessing Second-Order Statistics for Cross-Scenario Over-the-Air Modulation Classification | IEEE WCL | Paper · Code |
| 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 |
| 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 TCom | 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 |
| Year | Title | Venue | Links |
|---|---|---|---|
| 2026 | ViSpa: Visual-Spatial Interactive Fusion for 3D UAV Localization in mmWave Communications | IEEE CL | Paper · Code |
| 2025 | Bio-Inspired Dendritic Liquid Neural Network for Robust Near-Field Positioning in B5G/6G | IEEE WCL | Paper · Code |
| 2025 | Regularized Multi-Label Learning Empowered Joint Activity Recognition and Indoor Localization With CSI Fingerprints | IEEE TWC | 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 Learning | IEEE VTC Fall | Paper · Code |
| Year | Title | Venue | Links |
|---|---|---|---|
| 2024 | Self-Supervised Learning Malware Traffic Classification Based on Masked Autoencoder | IEEE IoT-J | Paper · Code |
| 2022 | Edge Device Identification Based on Federated Learning and Network Traffic Feature Engineering | IEEE TCCN | Paper · Code |
| 2022 | Malware Traffic Classification Using Domain Adaptation and Ladder Network for Secure Industrial IoT | IEEE IoT-J | Paper · Code |
| Year | Title | Venue | Links |
|---|---|---|---|
| 2025 | Uncertainty-Aware Dynamic Fusion Network with Criss-Cross Attention for Multimodal Remote Sensing Land Cover Classification | Information Fusion | Paper · Code |
| 2025 | Robust Multimodal Road Extraction via Dual-Layer Evidential Fusion Networks for Remote Sensing | IEEE TGRS | Paper · Code |
| Year | Title | Venue | Links |
|---|---|---|---|
| 2024 | A-GCRNN: Attention Graph Convolution Recurrent Neural Network for Multi-Band Spectrum Prediction | IEEE TVT | Paper · Code |
| 2023 | Multi-Agent Reinforcement Learning Resource Allocation Method Using Dueling Double Deep Q-Network in Vehicular Networks | IEEE TVT | Paper · Code |
🚫 Non-Commercial Use Only / 仅限非商业用途
This project is released under a custom non-commercial license. Any form of commercial use is strictly prohibited.
本项目基于自定义非商业许可证发布，禁止用于任何形式的商业用途。