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. His research interest is to build trustworthy and robust graph anomaly algorithms upon weakly supervised or unsupervised real-world scenarios. Previously, he received his Master's degree in the School of Computing at Macquarie University.

NEWS

2025/05: Our paper on Global Interpretable Graph-level Anomaly Detection via Prototype has been accepted by SIGKDD 2025.
2024/09: Our paper on State of the Art and Potentialities of Graph-level Learning has been accepted by CSUR 2024.
2024/05: Awarded the Digital Finance Cooperative Research Centre (DFCRC) PhD Top-Up Scholarship by DFCRC.
2023/11: Awarded the Higher Degree Research Rising Star by School of Computing, Macquarie University.
2023/02: Our paper on Minimum Entropy Principle Guided Graph Neural Networks has been accepted by WSDM 2023.
2022/11: Our paper on Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection has been accepted by NeurIPS 2022.
2022/01: Our paper on Low-rank and Sparse Representation Based Learning for Cancer Survivability Prediction has been accepted by Information Science 2022.
2021/08: Awarded the International Research Training Program (iRTP) Scholarship by Macquarie Univerisity.
2021/07: Awarded the Excellence Graduates by School of Computer Science and Engineering, University of New South Wales.

PUBLICATIONS

2025

Global Interpretable Graph-level Anomaly Detection via Prototype

Zhenyu Yang*, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng

SIGKDD (CCF-A)

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

CSUR (IF 23.8)

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)

AWARDS

• Digital Finance Cooperative Research Centre (DFCRC) PhD Top-Up Scholarship.

–– DFCRC, 2024
• Higher Degree Research Rising Star.

–– School of Computing, Macquarie University, 2023
• International Research Training Program (iRTP) Scholarship.

–– Macquarie Univerisity, 2021
• Excellence Graduates.

–– School of Computer Science and Engineering, University of New South Wales, 2021