He Zhang

Orcid: 0000-0002-5796-7891

Affiliations:

Griffith University, School of Information and Communication Technology, Brisbane, GLD, Australia
RMIT University, School of Computing Technologies, Melbourne, VIC, Australia (former)
Monash University, Faculty of Information Technology, IT, Clayton, VIC, Australia

According to our database¹, He Zhang authored at least 30 papers between 2010 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, April, 2026

Character-Level Perturbations Disrupt LLM Watermarks.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

BiMark: Unbiased Multilayer Watermarking for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ICDAR 2025 Competition on Understanding Chinese College Entrance Exam Papers.

[BibT_eX]

[DOI]

Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

2024

Trustworthy Graph Neural Networks: Aspects, Methods, and Trends.

[BibT_eX]

[DOI]

Proc. IEEE, February, 2024

Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks.

[BibT_eX]

[DOI]

He Zhang

Xingliang Yuan

Shirui Pan

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A survey on fairness-aware recommender systems.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

Projective Ranking-Based GNN Evasion Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Recent Advances in Hierarchical Multi-label Text Classification: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

He Zhang

Xingliang Yuan

Quoc Viet Hung Nguyen

Shirui Pan

CoRR, 2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.

[BibT_eX]

[DOI]

Yizhen Zheng

He Zhang

Vincent Cheng-Siong Lee

Yu Zheng

Xiao Wang

Shirui Pan

Proceedings of the International Conference on Machine Learning, 2023

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

How Far are We from Robust Long Abstractive Summarization?

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Federated Learning Meets Natural Language Processing: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.

[BibT_eX]

[DOI]