Yulin Zhu

According to our database, Yulin Zhu authored at least 29 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models.

Xiaoyu Xue, Yuni Lai, Chenxi Huang, Yulin Zhu, Gaolei Li, Xiaoge Zhang, Kai Zhou

CoRR, October, 2025

SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language Models.

Jianbin Zhang, Yulin Zhu, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Kai Zhou

CoRR, September, 2025

Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting.

Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu

CoRR, August, 2025

Unleashing the power of indirect attacks against trust prediction via preferential path.

Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou

Knowl. Inf. Syst., May, 2025

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection.

Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou

IEEE Trans. Neural Networks Learn. Syst., April, 2025

AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks.

Yuni Lai, Yulin Zhu, Yixuan Sun, Yulun Wu, Bin Xiao, Gaolei Li, Jianhua Li, Kai Zhou

CoRR, March, 2025

Robust Graph Contrastive Learning With Information Restoration.

Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou

IEEE Trans. Inf. Forensics Secur., 2025

Optimal Parameter Estimation for Solar PV Panel Based on ANN and Adaptive Particle Swarm Optimization.

Wai Lun Lo, Henry Shu-Hung Chung, Richard Tai Chiu Hsung, Hong Fu, Tony Yulin Zhu, Tak-Wai Shen, Harris Sik-Ho Tsang

Algorithms, 2025

Simple yet Effective Gradient-Free Graph Convolutional Networks.

Yulin Zhu, Xing Ai, Qimai Li, Xiaoming Wu, Wai-Lun Lo, Kai Zhou

Proceedings of the International Joint Conference on Neural Networks, 2025

Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model.

Yu Bu, Yulin Zhu, Kai Zhou

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification.

Yulin Zhu, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou

IEEE Trans. Knowl. Data Eng., June, 2024

Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks.

Yulin Zhu, Tomasz P. Michalak, Xiapu Luo, Xiaoge Zhang, Kai Zhou

IEEE Trans. Inf. Forensics Secur., 2024

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.

Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou

IEEE Trans. Inf. Forensics Secur., 2024

Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection.

Yuni Lai, Marcin Waniek, Liying Li, Jingwen Wu, Yulin Zhu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou

IEEE Trans. Inf. Forensics Secur., 2024

SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks.

Xing Ai, Guanyu Zhu, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou

CoRR, 2024

Universally Robust Graph Neural Networks by Preserving Neighbor Similarity.

Yulin Zhu, Yuni Lai, Xing Ai, Kai Zhou

CoRR, 2024

Adversarial analysis of similarity-based sign prediction.

Michal Tomasz Godziszewski, Marcin Waniek, Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz P. Michalak

Artif. Intell., 2024

Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks.

Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.

Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou

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

Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks.

Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou

Proceedings of the IEEE International Conference on Acoustics, 2024

Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network.

Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Dual-Space Attacks against Random-Walk-based Anomaly Detection.

Yuni Lai, Marcin Waniek, Yulin Zhu, Liying Li, Jingwen Wu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou

CoRR, 2023

Homophily-Driven Sanitation View for Robust Graph Contrastive Learning.

Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou

CoRR, 2023

Simple yet Effective Gradient-Free Graph Convolutional Networks.

Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou

CoRR, 2023

2022

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification.

Yulin Zhu, Liang Tong, Kai Zhou

CoRR, 2022

Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs.

Yulin Zhu, Tomasz P. Michalak, Xiapu Luo, Kai Zhou

CoRR, 2022

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection.

Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Attacking Similarity-Based Sign Prediction.

Michal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Kai Zhou, Yulin Zhu

Proceedings of the IEEE International Conference on Data Mining, 2021

Structural Attack against Graph Based Android Malware Detection.

Kaifa Zhao, Hao Zhou, Yulin Zhu, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan, Xiapu Luo

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021