Scholar
He Zhang
Google Scholar ID: ry0HxBQAAAAJ
Research Fellow, RMIT University
Citations & Impact
Citations
540
H-index
10
i10-index
10
Publications
19
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Imprint of the Forgotten: Stealthy Membership Inference In Unlearned Graph Neural Networks' accepted to AAAI 2026
- Paper 'BiMark: Unbiased Multilayer Watermarking for Large Language Models' accepted to ICML 2025
- Paper 'Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation' accepted to WWW 2025
- Paper 'Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks' accepted to ICDE 2024
- Paper 'Trustworthy Graph Neural Networks: Aspects, Methods, and Trends' published in IEEE Proceedings, 2024
- Paper 'GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks' published in NDSS 2024
Research Experience
- Research Fellow at School of Computing Technologies, RMIT University
Education
- Ph.D. from Monash University (Advisor information not provided)
Background
- Research interests: Trustworthy Machine Learning Systems, including robustness, explainability, privacy, and fairness; as well as the intricate interplay among them.
Miscellany
- Contact: he.zhang@rmit.edu.au
