Publication:

• Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li. (2023) “On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.” arXiv preprint arXiv:2310.15524.
• Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li. (2022) “Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.” In NeurIPS’22.
• Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai and Yun Fu. (2022) “Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection.” In CIKM’22.
• Yingchao Wu, Bo Dong, Qinghua Zheng, Rongzhe Wei, Zhiwen Wang, Xuanya Li. (2020) “A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation.” In COMPSAC’20.
• Jingyi An, Qinghua Zheng, Rongzhe Wei, Bo Dong, Xuanya Li. (2020) “NEUD-TRI: network embedding based on upstream and downstream for transaction risk identification.” In COMPSAC’20.
• Jingyi An, Rongzhe Wei, Zhichao Zha, Bo Dong. (2020) “Dual Adversarial Networks for Land-Cover Classification.” In COMPSAC’20.
• Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan. (2019) “ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification.” In IEEE BigData’2019.
• Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He. (2019) “Unsupervised conditional adversarial networks for tax evasion detection.” In IEEE BigData’2019.
• Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, Huan He. (2019) “Tedm-pu: A tax evasion detection method based on positive and unlabeled learning.” In IEEE BigData’2019.