TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning. - Yingchao Wu; Qinghua Zheng; Yuda Gao; Bo Dong 001; Rongzhe Wei; Fa Zhang 002; Huan He (IEEE BigData, 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)

RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder. - Yuda Gao; Bin Shi; Bo Dong 001; Yan Chen 031; Lingyun Mi; Zhiping Huang; Yuanyuan Shi (COMPSAC, 2020)

Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning. - Yuda Gao; Bin Shi; Bo Dong 001; Yiyang Wang; Lingyun Mi; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2023)