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)

DROIT: A Distributed Robustness Optimization Scheme with Local Information for IoT Topology. - Yabin Peng; Chenyu Zhou; Yuchen Liu; Tong Duan; Zhen Zhang; Jichao Xie (WASA (3), 2025)

BCDAN: A balanced method for community detection in attributed networks. - Yuchen Liu; Yabin Peng; Hongchang Chen; Jianpeng Zhang; Shaomei Li (Neurocomputing, 2025)

Fortifying graph neural networks against adversarial attacks via ensemble learning. - Chenyu Zhou; Wei Huang 035; Xinyuan Miao; Yabin Peng; Xianglong Kong; Yi Cao; Xi Chen 112 (Knowl. Based Syst., 2025)

A dynamic ensemble learning model for robust Graph Neural Networks. - Chenyu Zhou; Yabin Peng; Wei Huang 035; Xinyuan Miao; Yi Cao; Xinghao Wang; Xianglong Kong (Neural Networks, 2025)

Prioritized Recovery Strategy for Robust UAV Swarm Communication via Graph Reinforcement Learning. - Yabin Peng; Jiangxing Wu; Tong Duan; Yuchen Liu; Zhen Zhang 049; Jinfeng Zhang (IEEE Internet Things J., 2025)