Author

Tian-Tian Tang

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2026

Robust and Efficient Specific Emitter Identification via Broad Learning-Based Mixture of Experts

Specific Emitter Identification (SEI) is important for enhancing physical-layer security in resource-constrained Internet of Things (IoT) networks. However, Deep Learning (DL)-based SEI methods often incur high computational complexity and suffer performance degradation under noisy conditions. To address these issues,...

Yan Xiao, Lai Xu, Tian-Tian Tang et al. · IEEE Communications Letters · 0 citations

2026

UEDF: Uncertainty-Guided Energy-Based Dynamic Fusion for Robust Multimodal UAV Classification

Accurate identification of uncrewed aerial vehicles (UAVs) is crucial to ensure airspace security and effective threat assessment. Traditional UAV classification systems usually rely on single-modal sensing data, which limits their ability to capture the diversity and complementarity of UAV characteristics under differ...

Rui Wang, Siqi Lou, Zhen-Xin Cai et al. · IEEE Transactions on Cogniti... · 0 citations

Conference Aug 2026

Enhanced Pseudo-Labeling and Dual Mixup Augmentation for Semi-Supervised RF-Based UAV Recognition

Unmanned aerial vehicle (UAV) recognition has become increasingly important for securing the low-altitude economy. Radio frequency (RF) signal analysis using deep learning (DL) has emerged as a promising approach to this task. However, training robust DL models relies on large-scale labeled datasets, which are costly t...

Hong-Qin Lei, Chao Liu, Tian-Tian Tang et al. · 2026 IEEE/CIC International... · 0 citations