3 papers
cs.CL2025
Deep Sparse Latent Feature Models for Knowledge Graph Completion
Haotian Li, Rui Zhang, Lingzhi Wang +6
Recent advances in knowledge graph completion (KGC) have emphasized text-based approaches to navigate the inherent complexities of large-scale knowledge graphs (KGs). While these m…
cs.NI2025
STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
Kai Wang, Qiguang Jiang, Bailing Wang +2
In-vehicle network (IVN) is facing complex external cyber-attacks, especially the emerging masquerade attacks with extremely high difficulty of detection while serious damaging eff…
cs.CR2024
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
Aiheng Zhang, Qiguang Jiang, Kai Wang +1
With the development of intelligent transportation systems, vehicles are exposed to a complex network environment. As the main network of in-vehicle networks, the controller area n…