Jianfei Ruan

Orcid: 0000-0001-5250-3951

According to our database1, Jianfei Ruan authored at least 12 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Biased Complementary-Label Learning Without True Labels.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Improving unsupervised image clustering with spatial consistency.
Knowl. Based Syst., 2022

2020
T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Identifying suspicious groups of affiliated-transaction-based tax evasion in big data.
Inf. Sci., 2019

ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Unsupervised Conditional Adversarial Networks for Tax Evasion Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning.
Proceedings of the 17th IEEE International Conference On Trust, 2018

2017
Mining Suspicious Tax Evasion Groups in a Corporate Governance Network.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

2015
Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds.
Proceedings of the Doctoral Symposium of the 16th International Middleware Conference, 2015


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