Welcome to My HomePage

I am Rongzhe Wei (魏容哲 in Chinese). I am a third year PhD in GCoM Group at Georgia Tech, supervised by Prof. Pan Li. Before joining GCoM group, I obtained my bachelor degree from the Honors Science Program (Mathematics - School of Mathematics and Statistics / Qian Xuesen College) at Xi'an Jiao Tong University in 2021. My research interests include:

• Machine learning theory on graphs
• Data privacy
• High dimensional statistics

• NeurIPS'22 "Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective"

  with Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li

  Posted on September 16, 2020

  

  

  This work tries to establish the connection between Bayesian inference over a graphical model and Graph neural networks. With such a connection, we are able to measure the values of nonlinear operations in GNNs for the node classification task. We obtain a “negative” result: When node attributes are not very... [Read More]

  Tags:

  • Conference Paper

• CIKM'22 "Self-supervision Meets Adversarial Perturbation A Novel Framework for Anomaly Detection"

  with Yizhou Wang, Can Qin, Yi Xu, Yue Bai and Yun Fu

  Posted on August 20, 2020

  

  

  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 as SLA2P, for unsupervised anomaly detection. After extracting representative embeddings from raw data, we apply random projections to the features and... [Read More]

  Tags:

  • Conference Paper