Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds. - Jianfei Ruan; Qinghua Zheng; Bo Dong 001 (Middleware Doctoral Symposium, 2015)

Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning. - Ni Xue; Huan He; Jun Liu 002; Qinghua Zheng; Tian Ma; Jianfei Ruan; Bo Dong 001 (TrustCom/BigDataSE/ISPA (2), 2015)

Mining Suspicious Tax Evasion Groups in a Corporate Governance Network. - Wenda Wei; Zheng Yan 002; Jianfei Ruan; Qinghua Zheng; Bo Dong 001 (ICA3PP, 2017)

IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning. - Xulyu Zhu; Zheng Yan 002; Jianfei Ruan; Qinghua Zheng; Bo Dong 001 (TrustCom/BigDataSE, 2018)

Unsupervised Conditional Adversarial Networks for Tax Evasion Detection. - Rongzhe Wei; Bo Dong 001; Qinghua Zheng; Xulyu Zhu; Jianfei Ruan; Huan He (IEEE BigData, 2019)

ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification. - Rongzhe Wei; Qinghua Zheng; Bo Dong 001; Kuanzheng Yang; Huan He; Jianfei Ruan (IEEE BigData, 2019)

ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. - Qinghua Zheng; Yating Lin; Huan He; Jianfei Ruan; Bo Dong 001 (IJCAI, 2019)

Identifying suspicious groups of affiliated-transaction-based tax evasion in big data. - Jianfei Ruan; Zheng Yan 002; Bo Dong 001; Qinghua Zheng; Buyue Qian (Inf. Sci., 2019)

T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection. - Yiyang Wang; Qinghua Zheng; Jianfei Ruan; Yuda Gao; Yan Chen 031; Xuanya Li; Bo Dong 001 (IEEE BigData, 2020)

Improving unsupervised image clustering with spatial consistency. - Rui Zhao 028; Jianfei Ruan; Bo Dong 001; Li Meng; Weizhan Zhang (Knowl. Based Syst., 2022)

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. - Shuzhi Cao; Jianfei Ruan; Bo Dong 001; Bin Shi; Qinghua Zheng (AAAI, 2024)

Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. - Rui Zhao 028; Bin Shi; Jianfei Ruan; Tianze Pan; Bo Dong 001 (CVPR, 2024)

Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization. - Shuzhi Cao; Jianfei Ruan; Bo Dong 001; Bin Shi (KDD, 2024)

Training a Label-Noise-Resistant GNN with Reduced Complexity. - Rui Zhao 028; Bin Shi; Zhiming Liang; Jianfei Ruan; Bo Dong 001; Lu Lin (CoRR, 2024)

Biased Complementary-Label Learning Without True Labels. - Jianfei Ruan; Qinghua Zheng; Rui Zhao 028; Bo Dong 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)