| Identifying suspicious groups of affiliated-transaction-based tax evasion in big data J Ruan, Z Yan, B Dong, Q Zheng, B Qian Information Sciences 477, 508-532, 2019 | 51 | 2019 |
| IRTED-TL: An inter-region tax evasion detection method based on transfer learning X Zhu, Z Yan, J Ruan, Q Zheng, B Dong 2018 17th IEEE international conference on trust, security and privacy in …, 2018 | 19 | 2018 |
| Unsupervised conditional adversarial networks for tax evasion detection R Wei, B Dong, Q Zheng, X Zhu, J Ruan, H He 2019 IEEE International Conference on Big Data (Big Data), 1675-1680, 2019 | 12 | 2019 |
| T-EGAT: A temporal edge enhanced graph attention network for tax evasion detection Y Wang, Q Zheng, J Ruan, Y Gao, Y Chen, X Li, B Dong 2020 IEEE International Conference on Big Data (Big Data), 1410-1415, 2020 | 10 | 2020 |
| ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. Q Zheng, Y Lin, H He, J Ruan, B Dong IJCAI, 6584-6586, 2019 | 6 | 2019 |
| ABR-HIC: attention based bidirectional RNN for hierarchical industry classification R Wei, Q Zheng, B Dong, K Yang, H He, J Ruan 2019 IEEE International Conference on Big Data (Big Data), 1527-1536, 2019 | 5 | 2019 |
| Optimal resource provisioning approach based on cost modeling for spark applications in public clouds J Ruan, Q Zheng, B Dong Proceedings of the Doctoral Symposium of the 16th International Middleware …, 2015 | 5 | 2015 |
| Improving unsupervised image clustering with spatial consistency R Zhao, J Ruan, B Dong, L Meng, W Zhang Knowledge-Based Systems 246, 108673, 2022 | 3 | 2022 |
| Mining suspicious tax evasion groups in a corporate governance network W Wei, Z Yan, J Ruan, Q Zheng, B Dong Algorithms and Architectures for Parallel Processing: 17th International …, 2017 | 3 | 2017 |
| Probabilistic modeling towards understanding the power law distribution of video viewing behavior in large-scale e-learning N Xue, H He, J Liu, Q Zheng, T Ma, J Ruan, B Dong 2015 IEEE Trustcom/BigDataSE/ISPA 2, 136-142, 2015 | 3 | 2015 |
| Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning R Zhao, B Shi, J Ruan, T Pan, B Dong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Biased Complementary-Label Learning Without True Labels J Ruan, Q Zheng, R Zhao, B Dong IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2616-2627, 2022 | 2 | 2022 |
| RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection S Cao, J Ruan, B Dong, B Shi, Q Zheng Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8246-8254, 2024 | 1 | 2024 |
| Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization S Cao, J Ruan, B Dong, B Shi Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Taxpayer industry classification method based on label-noise learning Q Zheng, B Dong, R Jianfei, R Zhao, B Shi US Patent App. 17/956,879, 2023 | | 2023 |
| 基于有向异构图的发票明细税收分类方法 (Tax Classification of Invoice Details Based on Directed Heterogeneous Graph) P Zhao, Q Zheng, B Dong, J Ruan, M Luo Proceedings of the 19th Chinese National Conference on Computational …, 2020 | | 2020 |
| Detecting Controller Interlock-based Tax Evasion Groups in a Corporate Governance Network J Ruan, Q Zheng, B Dong, Z Yan Machine Learning for Computer and Cyber Security, 278-289, 2019 | | 2019 |
