S. Wang
1 indexed paper
Recent (6 mo)
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2026
Joint Interference Detection and Identification via Adversarial Multi-task Learning
The paper proposes a theoretically grounded adversarial multi-task learning framework (AMTIDIN) that significantly improves joint interference detection, modulation identification, and interference identification by explicitly modeling task correlations.
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