He Zhang

Orcid: 0000-0002-5796-7891

Affiliations:
  • Monash University, Faculty of Information Technology, IT, Clayton, VIC, Australia


According to our database1, He Zhang authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends.
Proc. IEEE, February, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A survey on fairness-aware recommender systems.
Inf. Fusion, December, 2023

Projective Ranking-Based GNN Evasion Attacks.
IEEE Trans. Knowl. Data Eng., August, 2023

GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks.
CoRR, 2023

On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks.
CoRR, 2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.
Proceedings of the International Conference on Machine Learning, 2023

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

2022
How Far are We from Robust Long Abstractive Summarization?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021


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