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)

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

PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction. - Rong Chen; Shuzhi Cao; Ailong He; Shuguang Han; Jufeng Chen (WWW (Companion Volume), 2025)