Dexian Wang

FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning

2025 · International Journal of Computational Intelligence Systems

As knowledge is time-sensitive, some researchers have started to focus on dynamic knowledge graphs to provide time-dimensioned knowledge content thus reflecting richer information. But they have not yet combined temporal information at different granularities. Also, …

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

As Audio Large Language Models (ALLMs) emerge as powerful tools for speech processing, their safety implications demand urgent attention. While considerable research has explored textual and vision safety, audio’s distinct characteristics present significant challenges. This …