Rongzhe Wei

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Diffusion Models

Anomaly Detection

Top Venues

Publications

Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. WWW (2024)
Rongzhe Wei, Eli Chien, Pan Li
Differentially Private Graph Diffusion with Applications in Personalized PageRanks. CoRR (2024)
Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic, Vamsi K. Potluru
Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing. CoRR (2024)
Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. CoRR (2023)
Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. CoRR (2023)
Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. CIKM (2022)
Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. NeurIPS (2022)
Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. CoRR (2022)
Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
P: Self-supervised Anomaly Detection with Adversarial Perturbation. CoRR (2021)
Jingyi An, Qinghua Zheng, Rongzhe Wei, Bo Dong, Xuanya Li
NEUD-TRI: Network Embedding Based on Upstream and Downstream for Transaction Risk Identification. COMPSAC (2020)
Jingyi An, Rongzhe Wei, Zhichao Zha, Bo Dong
Dual Adversarial Networks for Land-Cover Classification. COMPSAC (2020)
Rongzhe Wei, Fa Zhang, Bo Dong, Qinghua Zheng
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching. CoRR (2020)
Yingchao Wu, Bo Dong, Qinghua Zheng, Rongzhe Wei, Zhiwen Wang, Xuanya Li
A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation. COMPSAC (2020)
Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He
Unsupervised Conditional Adversarial Networks for Tax Evasion Detection. IEEE BigData (2019)
Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, Huan He
TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning. IEEE BigData (2019)
Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan
ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification. IEEE BigData (2019)