We stand with Ukraine

We stand with Ukraine

Jing Liu

Orcid: 0000-0002-0232-1444

Affiliations:

Hebei University of Technology, School of Artificial Intelligence, State Key Laboratory of High Performance Roll Materials and Composite Forming, Tianjin, China
Communication University of China, Beijing, China (PhD)

According to our database¹, Jing Liu authored at least 24 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org
on ieeexplore.ieee.org

On csauthors.net:

Bibliography

2026

Mining High Average Utility Nonoverlapping Patterns from Sequential Database.

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ACM Trans. Intell. Syst. Technol., February, 2026

CDAF: A Contrastive Distribution Alignment Framework for Generative Augmentation in Imbalanced IIoT Intrusion Detection.

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IEEE Internet Things J., 2026

Mining one-off high average utility episodes for process event logs.

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Future Gener. Comput. Syst., 2026

2025

NSPG-Miner: Mining Repetitive Negative Sequential Patterns.

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Philippe Fournier-Viger

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CoRR, February, 2025

Mining Repetitive Negative Sequential Patterns with Gap Constraints.

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Philippe Fournier-Viger

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ACM Trans. Knowl. Discov. Data, 2025

OER-Miner: One-Off Episode Rule Mining for Process Event Logs.

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IEEE Trans. Emerg. Top. Comput., 2025

OIP-Miner: one-off incremental sequential pattern mining with forgetting factor.

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Sci. China Inf. Sci., 2025

2024

RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining.

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Philippe Fournier-Viger

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IEEE Trans. Knowl. Data Eng., September, 2024

2023

Dual carbon oriented optimization method for manufacturing industry chain based on BP neural network and clonal selection algorithm.

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Appl. Soft Comput., November, 2023

ONP-Miner: One-off Negative Sequential Pattern Mining.

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ACM Trans. Knowl. Discov. Data, April, 2023

Repetitive nonoverlapping sequential pattern mining.

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Philippe Fournier-Viger

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CoRR, 2023

2022

One-off Negative Sequential Pattern Mining.

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CoRR, 2022

NetNMSP: Nonoverlapping maximal sequential pattern mining.

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Appl. Intell., 2022

NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition.

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Appl. Intell., 2022

AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series.

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Proceedings of the IEEE International Conference on Knowledge Graph, 2022

2021

Efficient Probabilistic K-NN Computation in Uncertain Sensor Networks.

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IEEE Trans. Netw. Sci. Eng., 2021

A Directed Edge Weight Prediction Model Using Decision Tree Ensembles in Industrial Internet of Things.

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IEEE Trans. Ind. Informatics, 2021

2020

A Real-Time Collision Prediction Mechanism With Deep Learning for Intelligent Transportation System.

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IEEE Trans. Veh. Technol., 2020

A secure and efficient data sharing scheme based on blockchain in industrial Internet of Things.

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J. Netw. Comput. Appl., 2020

Less diversity but higher satisfaction: An intelligent product configuration method for type-decreased mass customization.

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Comput. Ind. Eng., 2020

2019

Mining distinguishing subsequence patterns with nonoverlapping condition.

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Clust. Comput., 2019

2018

Local positive and negative correlation-based <i>k</i>-labelsets for multi-label classification.

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Neurocomputing, 2018

Dynamic deep learning algorithm based on incremental compensation for fault diagnosis model.

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Int. J. Comput. Intell. Syst., 2018

Helical fault diagnosis model based on data-driven incremental mergence.

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Comput. Ind. Eng., 2018

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