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Zehua Han

2 accepted papers

2026

MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals

CVPR 2026

The paradigm of Multimodal Large Language Models (MLLMs) offers a promising blueprint for advancing the electromagnetic (EM) domain. However, prevailing approaches often deviate from the native MLLM paradigm, instead using task-specific or pipelined architectures that lead to fundamental limitations

Cited by 0SourcecodeScholar
2025

Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning

AAAI 2025technical

In complex electromagnetic environments, the identification and differentiation of diverse radio frequency (RF) emitters become particularly crucial. Existing RF fingerprinting methods demonstrate limitations when dealing with numerous unknown emitters, making it challenging for accurate classificat…