USI-AUC: An evaluation criterion of community detection based on a novel link-prediction method. - Yiteng Wu; Hongtao Yu; Jianpeng Zhang; Shuxin Liu; Ruiyang Huang; Peng Li (Intell. Data Anal., 2018)

Parameter discrepancy hypothesis: adversarial attack for graph data. - Yiteng Wu; Wei Liu; Xinbang Hu; Xuqiao Yu (Inf. Sci., 2021)

SmartTRO: Optimizing topology robustness for Internet of Things via deep reinforcement learning with graph convolutional networks. - Yabin Peng; Caixia Liu; Shuxin Liu; Yuchen Liu; Yiteng Wu (Comput. Networks, 2022)

Graph convolutional networks-based robustness optimization for scale-free Internet of Things. - Yabin Peng; Caixia Liu; Yiteng Wu; Shuxin Liu; Kai Wang 066 (Intell. Data Anal., 2022)

The identical distribution hypothesis is equivalent to the parameter discrepancy hypothesis: Adversarial attacks on graph neural networks. - Yiteng Wu; Wei Liu; Xuqiao Yu (Inf. Sci., 2023)

Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training. - Hongxin Zhi; Hongtao Yu; Shaome Li; Xiuming Zhao; Yiteng Wu (CoRR, 2025)