Huijun Wu

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Venues

University of New South Wales, Sydney, Australia (PHD)

Education History

University of New South Wales, Sydney, Australia

PHD

Publications

Duanyu Li, Huijun Wu, Min Xie, Xugang Wu, Zhenwei Wu, Wenzhe Zhang
Exploiting Global Graph Homophily for Generalized Defense in Graph Neural Networks. CoRR (2024)
Xugang Wu, Huijun Wu, Ruibo Wang, Xu Zhou, Kai Lu
Towards adaptive graph neural networks via solving prior-data conflicts. Frontiers Inf. Technol. Electron. Eng. 25 (3) (2024)
Xugang Wu, Huijun Wu, Ruibo Wang, Duanyu Li, Xu Zhou, Kai Lu
Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study. ECML/PKDD (3) (2023)
Xugang Wu, Huijun Wu, Xu Zhou, Xiang Zhao, Kai Lu
Towards Defense Against Adversarial Attacks on Graph Neural Networks via Calibrated Co-Training. J. Comput. Sci. Technol. 37 (5) (2022)
Xugang Wu, Huijun Wu, Xu Zhou, Kai Lu
CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph. CoRR (2021)
Huijun Wu, Chen Wang, Richard Nock, Wei Wang, Jie Yin, Kai Lu, Liming Zhu
SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks. ACM Trans. Web 14 (3) (2020)
Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense. IJCAI (2019)
Rimmal Nadeem, Huijun Wu, Hye-young Paik, Chen Wang
A Case Based Deep Neural Network Interpretability Framework and Its User Study. WISE (2019)
Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu
The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques. CoRR (2019)
Wenzhe Zhang, Kai Lu, Ruibo Wang, Wanqing Chi, Mingtian Shao, Huijun Wu, Mikel Luján, Xiaoping Wang
Lightweight Container-based User Environment. CoRR (2019)
Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu
Sharing Deep Neural Network Models with Interpretation. WWW (2018)
Huijun Wu, Chen Wang, Yinjin Fu, Sherif Sakr, Kai Lu, Liming Zhu
A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds. IEEE Trans. Parallel Distributed Syst. 29 (6) (2018)
Huijun Wu, Chen Wang, Kai Lu, Yinjin Fu, Liming Zhu
One Size Does Not Fit All: The Case for Chunking Configuration in Backup Deduplication. CCGrid (2018)
Dongyao Wu, Sherif Sakr, Liming Zhu, Sung Une Lee, Huijun Wu
HDM-MC in-Action: A Framework for Big Data Analytics across Multiple Clusters. ICDCS (2018)
Dongyao Wu, Sherif Sakr, Liming Zhu, Huijun Wu
Towards Big Data Analytics across Multiple Clusters. CCGrid (2017)
Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu
Interpreting Shared Deep Learning Models via Explicable Boundary Trees. CoRR (2017)
Huijun Wu, Chen Wang, Yinjin Fu, Sherif Sakr, Liming Zhu, Kai Lu
HPDedup: A Hybrid Prioritized Data Deduplication Mechanism for Primary Storage in the Cloud. CoRR (2017)
Huijun Wu, Liming Zhu, Kai Lu, Gen Li, Dongyao Wu
StageFS: A Parallel File System Optimizing Metadata Performance for SSD Based Clusters. Trustcom/BigDataSE/ISPA (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Huijun Wu