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Qun Liu

Chongqing University of Posts and Telecommunications

SCHOLARLY PAPERS

4

DOWNLOADS

358

TOTAL CITATIONS

1

Scholarly Papers (4)

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1.

Inter-Layer Explainable Variational Autoencoder Model for Multivariate Time Series Anomaly Detection

Downloads 137 (547,695)

Inter-Layer Explainable Variational Autoencoder Model for Multivariate Time Series Anomaly Detection

Number of pages: 14 Posted: 07 May 2024
xiaoxia zhang, GuangYao Wang, yi chen, Qun Liu and Guoyin Wang
Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications and Chongqing University of Posts and Telecommunications
Downloads 91 (749,143)

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Multivariate Time SeriesAnomaly DetectionShapley ValueVariational AutoEncoderUnsupervised LearningAdversarial Network

Inter-Layer Explainable Variational Autoencoder Model for Multivariate Time Series Anomaly Detection

Number of pages: 19 Posted: 14 Apr 2025
xiaoxia zhang, Guangyao Wang, Yi Chen, Qun Liu and Guoyin Wang
Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications and Chongqing University of Posts and Telecommunications
Downloads 46 (1,170,161)

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Multivariate time series, anomaly detection, Shapley value, Variational Autoencoder, Adversarial Network

2.

Learning Counterfactual Explanation of Graph Neural Networks Via Generative Flow Network

Number of pages: 34 Posted: 14 Sep 2023
Kangjia He, Li Liu, Youmin Zhang, Ye Wang, Qun Liu and Guoyin Wang
Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications and Chongqing University of Posts and Telecommunications
Downloads 104 (669,616)
Citation 1

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Graph neural networks, Model Explanation, Counterfactual Subgraph, Generative Flow Network

3.

Gnn-Mgrpool: Enhanced Graph Neural Networks with Multi-Granularity Pooling for Graph Classification

Number of pages: 29 Posted: 04 Nov 2023
Haichao Sun, Guoyin Wang, Qun Liu and Yi-Ke Guo
Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications and Hong Kong University of Science & Technology (HKUST)
Downloads 73 (860,052)

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Multi-granularity pooling, Graph Neural Networks, Node embedding, Node classification, Graph classification, Interpretability.

4.

Concept Cognition for Knowledge Graphs: Mining Multi-Granularity Decision Rule

Number of pages: 15 Posted: 24 Jan 2024
Jiangli Duan, Guoyin Wang, Xin Hu, Qun Liu, Qin Jiang and Huamin Zhu
Yangtze Normal University, Chongqing University of Posts and Telecommunications, Yangtze Normal University, Chongqing University of Posts and Telecommunications, Chongqing University of Posts and Telecommunications and Yangtze Normal University
Downloads 44 (1,145,425)

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granular computing, cognitive intelligence, concept cognition, knowledge graph, decision rule