| 2024 | AAAI | 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 |
| 2024 | CVPR | Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. | Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong |
| 2024 | KDD | Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization. | Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi |
| 2019 | IJCAI | ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. | Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong |
| 2018 | TrustCom | IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning. | Xulyu Zhu, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong |
| 2017 | ICA3PP | Mining Suspicious Tax Evasion Groups in a Corporate Governance Network. | Wenda Wei, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong |
| 2015 | Middleware | Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds. | Jianfei Ruan, Qinghua Zheng, Bo Dong |
| 2015 | TrustCom | 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 |