I am a 3rd year Computer Science Ph.D. candidate in Big Data and Social Computing (BDSC) Lab at University of Illinois Chicago. My advisor is Prof. Philip S. Yu. Before joining UIC, I received my bachelor degree from Beijing University of Posts and Telecommunications and Queen Mary University of London in 2021. I interned in Amazon Payment Risk Team, Walmart Global Tech, and AWS Shanghai AI Lab DGL team. My research interests are Graph Mining, Anomaly Detection, and Generative Models. More information about me can be found in my Curriculum Vitae.


Invited Talk

Code Contribution

  • GODM: Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
  • PyGOD: a Python Library for Graph Outlier Detection (Anomaly Detection)
  • Deep Graph Library: a Python Package for Deep Learning on Graphs
  • DGFraud-TF2: a Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.0