Yulin Zhu

36 papers A* 5B 2Misc 3Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Revisiting Adversarial Robustness of GNNs Against Structural Attacks: A Simple and Fast Approach.
IEEE Trans. Inf. Forensics Secur.
Xing Ai, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou
2025 B conf
A Distributed Adaptive System with Strong Tie Graphs for Trust-Aware Reasoning in Adversarial Graphs.
SMC
Yu Bu, Yulin Zhu, Yuni Lai
2025 J jnl
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks.
CoRR
Yuni Lai, Yulin Zhu, Yixuan Sun, Yulun Wu, Bin Xiao, Gaolei Li, Jianhua Li, Kai Zhou
2025 Misc conf
Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model.
ICASSP
Yu Bu, Yulin Zhu, Kai Zhou
2025 J jnl
Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model.
CoRR
Yu Bu, Yulin Zhu, Kai Zhou
2025 J jnl
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou
2025 J jnl
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting.
CoRR
Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu
2025 J jnl
Robust Graph Contrastive Learning With Information Restoration.
IEEE Trans. Inf. Forensics Secur.
Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou
2025 B conf
Simple yet Effective Gradient-Free Graph Convolutional Networks.
IJCNN
Yulin Zhu, Xing Ai, Qimai Li, Xiaoming Wu, Wai-Lun Lo, Kai Zhou
2025 J jnl
SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language Models.
CoRR
Jianbin Zhang, Yulin Zhu, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Kai Zhou
2025 J jnl
Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models.
CoRR
Xiaoyu Xue, Yuni Lai, Chenxi Huang, Yulin Zhu, Gaolei Li, Xiaoge Zhang, Kai Zhou
2025 J jnl
Unleashing the power of indirect attacks against trust prediction via preferential path.
Knowl. Inf. Syst.
Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou
2024 J jnl
Adversarial analysis of similarity-based sign prediction.
Artif. Intell.
Michal Tomasz Godziszewski, Marcin Waniek, Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz P. Michalak
2024 Misc conf
Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks.
ICASSP
Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou
2024 J jnl
Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection.
IEEE Trans. Inf. Forensics Secur.
Yuni Lai, Marcin Waniek, Liying Li, Jingwen Wu, Yulin Zhu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou
2024 J jnl
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification.
IEEE Trans. Knowl. Data Eng.
Yulin Zhu, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou
2024 A* conf
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.
ICDE
Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
2024 A* conf
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks.
SP
Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou
2024 J jnl
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks.
CoRR
Xing Ai, Guanyu Zhu, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou
2024 J jnl
Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.
IEEE Trans. Inf. Forensics Secur.
Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou
2024 J jnl
Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks.
IEEE Trans. Inf. Forensics Secur.
Yulin Zhu, Tomasz P. Michalak, Xiapu Luo, Xiaoge Zhang, Kai Zhou
2024 Misc conf
Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network.
ICASSP
Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou
2024 J jnl
Universally Robust Graph Neural Networks by Preserving Neighbor Similarity.
CoRR
Yulin Zhu, Yuni Lai, Xing Ai, Kai Zhou
2023 J jnl
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, .
CoRR
Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou
2023 J jnl
Dual-Space Attacks against Random-Walk-based Anomaly Detection.
CoRR
Yuni Lai, Marcin Waniek, Yulin Zhu, Liying Li, Jingwen Wu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou
2023 J jnl
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.
CoRR
Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
2023 J jnl
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning.
CoRR
Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou
2023 J jnl
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks.
CoRR
Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou
2023 J jnl
Simple yet Effective Gradient-Free Graph Convolutional Networks.
CoRR
Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou
2022 A* conf
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection.
ICDE
Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou
2022 J jnl
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification.
CoRR
Yulin Zhu, Liang Tong, Kai Zhou
2022 J jnl
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection.
CoRR
Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou
2022 J jnl
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs.
CoRR
Yulin Zhu, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
2021 A* conf
Attacking Similarity-Based Sign Prediction.
ICDM
Michal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Kai Zhou, Yulin Zhu
2021 J jnl
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection.
CoRR
Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou
2021 A* conf
Structural Attack against Graph Based Android Malware Detection.
CCS
Kaifa Zhao, Hao Zhou, Yulin Zhu, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan, Xiapu Luo