Rongzhe Wei

activity

20202022

most citedSLA

^{2}

P: Self-supervised Anomaly Detection with Adversarial Perturbation

5 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 4 cited

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

Rongzhe Wei, Haoteng Yin, Junteng Jia +2

Graph neural networks (GNNs) have shown superiority in many prediction tasks over graphs due to their impressive capability of capturing nonlinear relations in graph-structured dat…

cs.LG2021★ 5 cited

SLA $^{2}$ P: Self-supervised Anomaly Detection with Adversarial Perturbation

Yizhou Wang, Can Qin, Rongzhe Wei +3

Anomaly detection is a fundamental yet challenging problem in machine learning due to the lack of label information. In this work, we propose a novel and powerful framework, dubbed…

cs.LG2020

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

Rongzhe Wei, Fa Zhang, Bo Dong +1

Knowledge transfer from a source domain to a different but semantically related target domain has long been an important topic in the context of unsupervised domain adaptation (UDA…

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

SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation

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

SLA $^{2}$ P: Self-supervised Anomaly Detection with Adversarial Perturbation