Welcome to the website of the Waveform Analytics and Security (WAS) Lab at Zhejiang University of Technology!
Our research interests lie in the signal representation learning and its application:
- leveraging theoretical/empirical understanding (e.g., loss landscape, and training dynamics)
- to design efficient & robust methods (both learning and inference)
- for deep learning (centralized) and collaborative deep learning (distributed and/or decentralized),
- under imperfect environments (e.g., noisy, heterogeneous, and hardware-constrained).
News
| Aug 23, 2024 | Our paper A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications was accepted at TNNLS 2024 conference. Congratulations to Peng Sun. |
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| June 23, 2024 | Our paper Meta-RFF: Few-Shot Open-Set Incremental Learning for RF Fingerprint Recognition via Multi-phase Meta Task Adaptation was accepted at WASA 2024 conference as **Best Paper**. Congratulations to Taotao Li. |