Search Results for author: Bailing Wang

Found 5 papers, 3 papers with code

LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection

1 code implementation14 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.

Cloud Computing Network Intrusion Detection

Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning on CAN Messages

1 code implementation13 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.

Graph Learning Intrusion Detection

KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

no code implementations26 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.

Knowledge Graph Completion Link Prediction +1

An original model for multi-target learning of logical rules for knowledge graph reasoning

2 code implementations12 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.

Knowledge Graphs

Verification Code Recognition Based on Active and Deep Learning

no code implementations12 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.

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