Applying a Bayesian Stackelberg game to secure infrastructure system: from a complex network perspective. - Xueqiang Gu; Chengyi Zeng; Fengtao Xiang (CACRE, 2019)

Applying the Bayesian Stackelberg Active Deception Game for Securing Infrastructure Networks. - Chengyi Zeng; Baoan Ren; Hongfu Liu 004; Jing Chen (Entropy, 2019)

Feasibility Analysis and Application of Reinforcement Learning Algorithm Based on Dynamic Parameter Adjustment. - Meng-Lin Li; Xueqiang Gu; Chengyi Zeng; Yuan Feng (Algorithms, 2020)

Robustness of Internet of Battlefield Things (IoBT): A Directed Network Perspective. - Yuan Feng; Meng-Lin Li; Chengyi Zeng; Hongfu Liu 004 (Entropy, 2020)

Enhancing Edge Attack Strategy via an OWA Operator-Based Ensemble Design in Real-World Networks. - Yuan Feng; Baoan Ren; Chengyi Zeng; Yuyuan Yang; Hongfu Liu 004 (Entropy, 2020)

Self-supervised learning of monocular depth using quantized networks. - Keyu Lu; Chengyi Zeng; Yonghu Zeng (Neurocomputing, 2022)

GMTDG: A Graph Generation Method for Mosaic Warfare Dynamic Kill Web. - Libin Chen; Luyao Wang; Chengyi Zeng; Hongfu Liu 004; Jing Chen (SMC, 2023)

Searching High-value Edges Attack sequence through deep Reinforcement learning. - Libin Chen; Luyao Wang; Chengyi Zeng; Hongfu Liu 004; Jing Chen (Knowl. Based Syst., 2023)

SHATTER: Searching Heterogeneous Combat Network Attack Sequences Through Network Embedding and Reinforcement Learning. - Chengyi Zeng; Hongfu Liu 004; Lina Lu; Jing Chen; Zongtan Zhou (IEEE Syst. J., 2023)

DAMAGE: Directed Heterogeneous Network Attack Sequence Inference Through Graph Attention Matrix Generation Embedding and Reinforcement Learning. - Hongfu Liu 004; Chengyi Zeng; Zhen Li 009; Lina Lu; Jing Chen; Zongtan Zhou (IEEE Syst. J., 2025)