Rongzhe Wei

According to our database, Rongzhe Wei authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

IEEE Trans. Knowl. Data Eng., December, 2024

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.

Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

Trans. Mach. Learn. Res., 2024

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models.

Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li

CoRR, 2024

Differentially Private Graph Diffusion with Applications in Personalized PageRanks.

Rongzhe Wei, Eli Chien, Pan Li

CoRR, 2024

Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing.

Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic, Vamsi K. Potluru

CoRR, 2024

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures.

Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava

Proceedings of the ACM on Web Conference 2024, 2024

2023

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.

Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

CoRR, 2023

2022

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.

Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

CoRR, 2021

2020

DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching.

Rongzhe Wei, Fa Zhang, Bo Dong, Qinghua Zheng

CoRR, 2020

A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation.

Yingchao Wu, Bo Dong, Qinghua Zheng, Rongzhe Wei, Zhiwen Wang, Xuanya Li

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

NEUD-TRI: Network Embedding Based on Upstream and Downstream for Transaction Risk Identification.

Jingyi An, Qinghua Zheng, Rongzhe Wei, Bo Dong, Xuanya Li

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Dual Adversarial Networks for Land-Cover Classification.

Jingyi An, Rongzhe Wei, Zhichao Zha, Bo Dong

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019

TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning.

Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, Huan He

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification.

Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Unsupervised Conditional Adversarial Networks for Tax Evasion Detection.

Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019