Zhenyu Yang's homepage

BIOGRAPHY

Zhenyu Yang is currently a Ph.D. student with the School of Computing at Macquarie University, supervised by A/Prof. Jia Wu and Prof. Jian Yang. His research interest is to develop ML algorithms over graph-structured data for addressing real-world problems, especially fraud detection and anomaly detection. Previously, he received his Master's degree in the School of Computing at Macquarie University.

PUBLICATIONS

2024

State of the Art and Potentialities of Graph-level Learning

Zhenyu Yang*, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Li`o

Acm Computing Survey (Impact Factor 23.8)

2023

Minimum Entropy Principle Guided Graph Neural Networks

Zhenyu Yang*, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su

WSDM (CCF-B)

2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

Ge Zhang, Zhenyu Yang*, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal

NeurIPS (CCF-A)

Low-rank and Sparse Representation Based Learning for Cancer Survivability Prediction

Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang*

Information Science (CCF-B)