Huijun Wu

31 papers A* 5A 3B 4C 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Machine Learning-Based HPC I/O Analysis and Optimization.
IEEE Trans. Parallel Distributed Syst.
Jingxian Peng, Lihua Yang, Huijun Wu, Wenzhe Zhang, Zhenwei Wu, Wei Zhang, Jiaxin Li, Yiqin Dai, Yong Dong
2026 A* conf
DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation.
AAAI
Duanyu Li, Huijun Wu, Min Xie, Kai Lu, Wenzhe Zhang, Zhenwei Wu, Yong Dong, Ruibo Wang
2026 J jnl
Fully Decentralized Data Distribution for Large-Scale HPC Systems.
IEEE Trans. Parallel Distributed Syst.
Ruibo Wang, Mingtian Shao, Wenzhe Zhang, Huijun Wu, Jiaxin Li, Lihua Yang, Di Ma, Yiqin Dai, Kai Lu
2025 A conf
From Islands to Archipelago: Towards Collaborative and Adaptive Burst Buffer for HPC Systems.
ICS
Mingtian Shao, Ruibo Wang, Wenzhe Zhang, Kai Lu, Yiqin Dai, Huijun Wu
2025 J jnl
MIST: Towards MPI Instant Startup and Termination on Tianhe HPC Systems.
IEEE Trans. Parallel Distributed Syst.
Yiqin Dai, Ruibo Wang, Yong Dong, Min Xie, Juan Chen, Wenzhe Zhang, Huijun Wu, Mingtian Shao, Kai Lu
2025 B conf
MergeFS: Optimizing Node-Local Burst Buffers for Complex HPC Workflows.
ICPADS
Zhaohao Zhong, Huijun Wu, Min Xie, Yong Dong, Wenzhe Zhang, Zhenwei Wu, Lihua Yang, Ruibo Wang
2024 A* conf
Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering.
ACM Multimedia
Huimin Ma, Siwei Wang, Shengju Yu, Suyuan Liu, Junjie Huang, Huijun Wu, Xinwang Liu, En Zhu
2024 J jnl
Exploiting Global Graph Homophily for Generalized Defense in Graph Neural Networks.
CoRR
Duanyu Li, Huijun Wu, Min Xie, Xugang Wu, Zhenwei Wu, Wenzhe Zhang
2024 C conf
Fully Decentralized Data Distribution for Exascale-HPC: End of the Provider-Demander Matching Puzzle.
CLUSTER
Mingtian Shao, Wenzhe Zhang, Ruibo Wang, Huijun Wu, Yiqin Dai, Kai Lu
2024 A* conf
GraphLearner: Graph Node Clustering with Fully Learnable Augmentation.
ACM Multimedia
Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu
2024 J jnl
Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks.
CoRR
Kaiwen Xia, Huijun Wu, Duanyu Li, Min Xie, Ruibo Wang, Wenzhe Zhang
2024 A conf
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs.
ECAI
Duanyu Li, Huijun Wu, Min Xie, Xugang Wu, Zhenwei Wu, Wenzhe Zhang
2024 J jnl
Towards adaptive graph neural networks via solving prior-data conflicts.
Frontiers Inf. Technol. Electron. Eng.
Xugang Wu, Huijun Wu, Ruibo Wang, Xu Zhou, Kai Lu
2023 — conf
Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study.
ECML/PKDD (3)
Xugang Wu, Huijun Wu, Ruibo Wang, Duanyu Li, Xu Zhou, Kai Lu
2023 — conf
ReForker: Patching x86_64 Binaries with the Fork Server to Improve Hardware-Assisted Fuzzing through Trampoline-Based Binary Rewriting.
CNCIT
Tai Yue, Pengfei Wang, Lei Zhou, Xu Zhou, Gen Zhang, Kai Lu, Huijun Wu
2022 J jnl
Towards Defense Against Adversarial Attacks on Graph Neural Networks via Calibrated Co-Training.
J. Comput. Sci. Technol.
Xugang Wu, Huijun Wu, Xu Zhou, Xiang Zhao, Kai Lu
2021 J jnl
CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph.
CoRR
Xugang Wu, Huijun Wu, Xu Zhou, Kai Lu
2020 J jnl
SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks.
ACM Trans. Web
Huijun Wu, Chen Wang, Richard Nock, Wei Wang, Jie Yin, Kai Lu, Liming Zhu
2019 B conf
A Case Based Deep Neural Network Interpretability Framework and Its User Study.
WISE
Rimmal Nadeem, Huijun Wu, Hye-Young Paik, Chen Wang
2019 A* conf
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense.
IJCAI
Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu
2019 J jnl
Lightweight Container-based User Environment.
CoRR
Wenzhe Zhang, Kai Lu, Ruibo Wang, Wanqing Chi, Mingtian Shao, Huijun Wu, Mikel Luján, Xiaoping Wang
2019 J jnl
The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques.
CoRR
Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu
2019 — —
Towards integrating learning algorithms into computer system design.
Huijun Wu
2018 J jnl
A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds.
IEEE Trans. Parallel Distributed Syst.
Huijun Wu, Chen Wang, Yinjin Fu, Sherif Sakr, Kai Lu, Liming Zhu
2018 A conf
HDM-MC in-Action: A Framework for Big Data Analytics across Multiple Clusters.
ICDCS
Dongyao Wu, Sherif Sakr, Liming Zhu, Sung Une Lee, Huijun Wu
2018 B conf
One Size Does Not Fit All: The Case for Chunking Configuration in Backup Deduplication.
CCGrid
Huijun Wu, Chen Wang, Kai Lu, Yinjin Fu, Liming Zhu
2018 A* conf
Sharing Deep Neural Network Models with Interpretation.
WWW
Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu
2017 J jnl
HPDedup: A Hybrid Prioritized Data Deduplication Mechanism for Primary Storage in the Cloud.
CoRR
Huijun Wu, Chen Wang, Yinjin Fu, Sherif Sakr, Liming Zhu, Kai Lu
2017 J jnl
Interpreting Shared Deep Learning Models via Explicable Boundary Trees.
CoRR
Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu
2017 B conf
Towards Big Data Analytics across Multiple Clusters.
CCGrid
Dongyao Wu, Sherif Sakr, Liming Zhu, Huijun Wu
2016 — conf
StageFS: A Parallel File System Optimizing Metadata Performance for SSD Based Clusters.
Trustcom/BigDataSE/ISPA
Huijun Wu, Liming Zhu, Kai Lu, Gen Li, Dongyao Wu