1 code implementation • 14 Nov 2023 • Aiheng Zhang, Kai Wang, Bailing Wang, Yulei Wu
Through experiments, we prove that LiPar has great detection performance, running efficiency, and lightweight model size, which can be well adapted to the in-vehicle environment practically and protect the in-vehicle CAN bus security.
1 code implementation • 13 Nov 2023 • Kai Wang, Qiguang Jiang, Bailing Wang, Yongzheng Zhang, Yulei Wu
In this paper, we propose StatGraph: an Effective Multi-view Statistical Graph Learning Intrusion Detection to implement the fine-grained intrusion detection.
no code implementations • 26 Sep 2023 • Haotian Li, Lingzhi Wang, Yuliang Wei, Richard Yi Da Xu, Bailing Wang
Knowledge graph completion is a task that revolves around filling in missing triples based on the information available in a knowledge graph.
2 code implementations • 12 Dec 2021 • Yuliang Wei, Haotian Li, Guodong Xin, Yao Wang, Bailing Wang
In this paper, we study the problem of learning logical rules for reasoning on knowledge graphs for completing missing factual triplets.
no code implementations • 12 Feb 2019 • Dongliang Xu, Bailing Wang, XiaoJiang Du, Xiaoyan Zhu, zhitao Guan, Xiaoyan Yu, Jingyu Liu
However, the advantages of convolutional neural networks depend on the data used by the training classifier, particularly the size of the training set.