Structural Attack against Graph Based Android Malware Detection. - Kaifa Zhao; Hao Zhou 043; Yulin Zhu 001; Xian Zhan; Kai Zhou 001; Jianfeng Li 006; Le Yu 002; Wei Yuan 001; Xiapu Luo (CCS, 2021)

Attacking Similarity-Based Sign Prediction. - Michal Tomasz Godziszewski; Tomasz P. Michalak; Marcin Waniek; Talal Rahwan; Kai Zhou 001; Yulin Zhu 001 (ICDM, 2021)

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. - Yulin Zhu 001; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jian Ren 001; Kai Zhou 001 (ICDE, 2022)

Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs. - Yulin Zhu 001; Tomasz P. Michalak; Xiapu Luo; Kai Zhou 001 (CoRR, 2022)

Simple yet Effective Gradient-Free Graph Convolutional Networks. - Yulin Zhu 001; Xing Ai; Qimai Li; Xiao-Ming Wu 003; Kai Zhou 001 (CoRR, 2023)

Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network. - Yu Bu; Yulin Zhu 001; Longling Geng; Kai Zhou 001 (ICASSP, 2024)

Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks. - Yuwei Han; Yuni Lai; Yulin Zhu 001; Kai Zhou 001 (ICASSP, 2024)

Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. - Xing Ai; Jialong Zhou; Yulin Zhu 001; Gaolei Li; Tomasz P. Michalak; Xiapu Luo; Kai Zhou 001 (ICDE, 2024)

Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. - Yuni Lai; Yulin Zhu 001; Bailin Pan; Kai Zhou 001 (SP, 2024)

Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. - Yuni Lai; Marcin Waniek; Liying Li; Jingwen Wu; Yulin Zhu 001; Tomasz P. Michalak; Talal Rahwan; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. - Yuni Lai; Yulin Zhu 001; Wenqi Fan; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks. - Yulin Zhu 001; Tomasz P. Michalak; Xiapu Luo; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification. - Yulin Zhu 001; Liang Tong; Gaolei Li; Xiapu Luo; Kai Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model. - Yu Bu; Yulin Zhu 001; Kai Zhou 001 (ICASSP, 2025)

Robust Graph Contrastive Learning With Information Restoration. - Yulin Zhu 001; Xing Ai; Yevgeniy Vorobeychik; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2025)

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. - Yulin Zhu 001; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jun Wu 001; Jian Ren 001; Kai Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unleashing the power of indirect attacks against trust prediction via preferential path. - Yu Bu; Yulin Zhu 001; Longling Geng; Kai Zhou 001 (Knowl. Inf. Syst., 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 001 (CoRR, 2025)

SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language Models. - Jianbin Zhang; Yulin Zhu 001; Wai Lun Lo; Richard Tai Chiu Hsung; Harris Sik-Ho Tsang; Kai Zhou (CoRR, 2025)