Jianfei Ruan

According to our database, Jianfei Ruan authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Biased Complementary-Label Learning Without True Labels.

Jianfei Ruan, Qinghua Zheng, Rui Zhao, Bo Dong

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Training a Label-Noise-Resistant GNN with Reduced Complexity.

Rui Zhao, Bin Shi, Zhiming Liang, Jianfei Ruan, Bo Dong, Lu Lin

CoRR, 2024

Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization.

Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning.

Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection.

Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Improving unsupervised image clustering with spatial consistency.

Rui Zhao, Jianfei Ruan, Bo Dong, Li Meng, Weizhan Zhang

Knowl. Based Syst., 2022

2020

T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection.

Yiyang Wang, Qinghua Zheng, Jianfei Ruan, Yuda Gao, Yan Chen, Xuanya Li, Bo Dong

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.

Jianfei Ruan, Zheng Yan, Bo Dong, Qinghua Zheng, Buyue Qian

Inf. Sci., 2019

ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups.

Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification.

Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Unsupervised Conditional Adversarial Networks for Tax Evasion Detection.

Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He

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.

Xulyu Zhu, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong

Proceedings of the 17th IEEE International Conference On Trust, 2018

2017

Mining Suspicious Tax Evasion Groups in a Corporate Governance Network.

Wenda Wei, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong

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.

Ni Xue, Huan He, Jun Liu, Qinghua Zheng, Tian Ma, Jianfei Ruan, Bo Dong

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds.

Jianfei Ruan, Qinghua Zheng, Bo Dong

Proceedings of the Doctoral Symposium of the 16th International Middleware Conference, 2015