Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning. - Shengbo Wang; Chuan Lin 001; Guangjie Han; Shengchao Zhu; Zhixian Li; Zhenyu Wang (CoRR, 2024)

Virtual-Mobile-Agent-Assisted Boundary Tracking for Continuous Objects in Underwater Acoustic Sensor Networks. - Li Liu 022; Zhaohui Zheng; Shengchao Zhu; Sammy Chan; Changmao Wu (IEEE Internet Things J., 2024)

Hybrid-Algorithm-Based Full Coverage Search Approach With Multiple AUVs to Unknown Environments in Internet of Underwater Things. - Guangjie Han; Weizhe Lai; Hao Wang 047; Shengchao Zhu (IEEE Internet Things J., 2024)

Underwater Target Tracking Based on Hierarchical Software-Defined Multi-AUV Reinforcement Learning: A Multi-AUV Advantage-Attention Actor-Critic Approach. - Shengchao Zhu; Guangjie Han; Chuan Lin 001; Qiuzi Tao (IEEE Trans. Mob. Comput., 2024)

A Software-Defined MARL-Based Architecture for AUV Cluster Network to Enable Cooperative and Smart Underwater Target Tracking. - Shengchao Zhu; Guangjie Han; Chuan Lin 001 (IEEE Wirel. Commun., 2024)

Underwater Target Tracking Based on Interrupted Software-Defined Multi-AUV Reinforcement Learning: A Multi-AUV Time-Saving MARL Approach. - Shengchao Zhu; Guangjie Han; Chuan Lin 001; Yu Zhang 001 (IEEE Trans. Mob. Comput., 2025)

Secure Data Offloading and Resource Allocation Against Hybrid Intrusions for IIoT: A Fully Decentralized Framework. - Fan Zhang 014; Guangjie Han; Li Liu 022; Jinfang Jiang; Aohan Li; Shengchao Zhu (IEEE Internet Things J., 2025)

Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-Enabled Multi-Agent Reinforcement Learning. - Shengbo Wang; Chuan Lin 001; Guangjie Han; Shengchao Zhu; Zhixian Li; Zhenyu Wang; Yunpeng Ma (IEEE Trans. Mob. Comput., 2025)

Underwater Multiple AUV Cooperative Target Tracking Based on Minimal Reward Participation-Embedded MARL. - Shengchao Zhu; Guangjie Han; Chuan Lin 001; Fan Zhang 014 (IEEE Trans. Mob. Comput., 2025)