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2020 – today
- 2024
[j3]Jianfei Ruan
, Qinghua Zheng, Rui Zhao, Bo Dong:
Biased Complementary-Label Learning Without True Labels. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2616-2627 (2024)- [c11]Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng:
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. AAAI 2024: 8246-8254 - [c10]Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong:
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. CVPR 2024: 22809-22819 - [c9]Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi:
Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization. KDD 2024: 211-221 - [i2]Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong:
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. CoRR abs/2405.05714 (2024) - [i1]Rui Zhao, Bin Shi, Zhiming Liang, Jianfei Ruan, Bo Dong, Lu Lin:
Training a Label-Noise-Resistant GNN with Reduced Complexity. CoRR abs/2411.11020 (2024) - 2022
- [j2]Rui Zhao, Jianfei Ruan, Bo Dong, Li Meng, Weizhan Zhang:
Improving unsupervised image clustering with spatial consistency. Knowl. Based Syst. 246: 108673 (2022) - 2020
- [c8]Yiyang Wang, Qinghua Zheng, Jianfei Ruan, Yuda Gao, Yan Chen, Xuanya Li, Bo Dong:
T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection. IEEE BigData 2020: 1410-1415
2010 – 2019
- 2019
- [j1]Jianfei Ruan, Zheng Yan, Bo Dong, Qinghua Zheng, Buyue Qian:
Identifying suspicious groups of affiliated-transaction-based tax evasion in big data. Inf. Sci. 477: 508-532 (2019) - [c7]Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan:
ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification. IEEE BigData 2019: 1527-1536 - [c6]Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He:
Unsupervised Conditional Adversarial Networks for Tax Evasion Detection. IEEE BigData 2019: 1675-1680 - [c5]Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong:
ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. IJCAI 2019: 6584-6586 - 2018
- [c4]Xulyu Zhu, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong:
IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning. TrustCom/BigDataSE 2018: 1224-1235 - 2017
- [c3]Wenda Wei, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong:
Mining Suspicious Tax Evasion Groups in a Corporate Governance Network. ICA3PP 2017: 465-475 - 2015
- [c2]Jianfei Ruan, Qinghua Zheng, Bo Dong:
Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds. Middleware Doctoral Symposium 2015: 6:1-6:4 - [c1]Ni Xue, Huan He, Jun Liu, Qinghua Zheng, Tian Ma, Jianfei Ruan, Bo Dong:
Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning. TrustCom/BigDataSE/ISPA (2) 2015: 136-142
Coauthor Index
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