Shengchao Zhu

Orcid: 0009-0006-1491-5342

According to our database1, Shengchao Zhu authored at least 21 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Smart Multi-Scenario Task Deployment for AUV Cluster Network: A Large Language Model-Driven Exploration-Enhanced MARL Approach.
IEEE Trans. Mob. Comput., July, 2026

Smart Interrupted Routing Based on Multi-Head Attention Mask Mechanism-Driven MARL in Software-Defined UASNs.
IEEE Trans. Mob. Comput., July, 2026

Trust Management Based on Attention-Weighted Federated Deep Reinforcement Learning for Underwater Acoustic Sensor Networks.
IEEE Trans. Mob. Comput., June, 2026

Task-Semantic Graph-Driven Distributed Agent Networking for Underwater Target Tracking.
CoRR, May, 2026

AUV Wireless Cluster Networks-Based Multi-Target Tracking: A Software-Defined Multi-Teacher-Student Reinforcement Learning Approach.
IEEE Trans. Mob. Comput., April, 2026

Active Data Routing Based on Reward Backpropagation-Enabled Multi-Agent Q-Learning Toward SDN-Enabled Wireless Buoy Networks.
IEEE Trans. Mob. Comput., March, 2026

Multi-AUV Cooperative Target Tracking Based on Supervised Diffusion-Aided Multi-Agent Reinforcement Learning.
CoRR, March, 2026

Multi-AUV Ad-hoc Networks-Based Multi-Target Tracking Based on Scene-Adaptive Embodied Intelligence.
CoRR, March, 2026

Modeling and Operation of Underwater Intelligent Communication Systems: A Survey of Multi-Agent Reinforcement Learning-Based Approaches.
IEEE Commun. Surv. Tutorials, 2026

2025
A Multi-Dimensional Optimization Framework for AUV Cooperative Coverage Path Planning in Dynamic Underwater Environments.
IEEE Trans. Veh. Technol., November, 2025

Multiple Autonomous Underwater Vehicles-Assisted Data Collection in 6G-Driven Underwater Wireless Networks Based on Software-Defined MARL.
IEEE Trans. Intell. Transp. Syst., October, 2025

Smart Interrupted Routing Based on Multi-head Attention Mask Mechanism-Driven MARL in Software-defined UASNs.
CoRR, September, 2025

Underwater Multiple AUV Cooperative Target Tracking Based on Minimal Reward Participation-Embedded MARL.
IEEE Trans. Mob. Comput., May, 2025

Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-Enabled Multi-Agent Reinforcement Learning.
IEEE Trans. Mob. Comput., May, 2025

Secure Data Offloading and Resource Allocation Against Hybrid Intrusions for IIoT: A Fully Decentralized Framework.
IEEE Internet Things J., April, 2025

Underwater Target Tracking Based on Interrupted Software-Defined Multi-AUV Reinforcement Learning: A Multi-AUV Time-Saving MARL Approach.
IEEE Trans. Mob. Comput., March, 2025

2024
A Software-Defined MARL-Based Architecture for AUV Cluster Network to Enable Cooperative and Smart Underwater Target Tracking.
IEEE Wirel. Commun., December, 2024

Underwater Target Tracking Based on Hierarchical Software-Defined Multi-AUV Reinforcement Learning: A Multi-AUV Advantage-Attention Actor-Critic Approach.
IEEE Trans. Mob. Comput., December, 2024

Hybrid-Algorithm-Based Full Coverage Search Approach With Multiple AUVs to Unknown Environments in Internet of Underwater Things.
IEEE Internet Things J., March, 2024

Virtual-Mobile-Agent-Assisted Boundary Tracking for Continuous Objects in Underwater Acoustic Sensor Networks.
IEEE Internet Things J., 2024

Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning.
CoRR, 2024


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