Guanwen Xie
Orcid: 0009-0000-2410-2878
According to our database1,
Guanwen Xie authored at least 25 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Never Too Cocky to Cooperate: An FIM and RL-Based USV-AUV Collaborative System for Underwater Tasks in Extreme Sea Conditions.
IEEE Trans. Mob. Comput., July, 2026
ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract).
CoRR, May, 2026
CoRR, May, 2026
Underwater Embodied Intelligence for Autonomous Robots: A Constraint-Coupled Perspective on Planning, Control, and Deployment.
CoRR, March, 2026
IEEE Trans. Mob. Comput., February, 2026
IEEE J. Biomed. Health Informatics, February, 2026
2025
When Motion Learns to Listen: Diffusion-Prior Lyapunov Actor-Critic Framework with LLM Guidance for Stable and Robust AUV Control in Underwater Tasks.
CoRR, November, 2025
Never Too Rigid to Reach: Adaptive Virtual Model Control with LLM- and Lyapunov-Based Reinforcement Learning.
CoRR, October, 2025
EasyUUV: An LLM-Enhanced Universal and Lightweight Sim-to-Real Reinforcement Learning Framework for UUV Attitude Control.
CoRR, October, 2025
Ocean Diviner: A Diffusion-Augmented Reinforcement Learning for AUV Robust Control in the Underwater Tasks.
CoRR, July, 2025
Never too Cocky to Cooperate: An FIM and RL-based USV-AUV Collaborative System for Underwater Tasks in Extreme Sea Conditions.
CoRR, April, 2025
UPEGSim: An RL-Enabled Simulator for Unmanned Underwater Vehicles Dedicated in the Underwater Pursuit-Evasion Game.
IEEE Internet Things J., 2025
EFILN: The Electric Field Inversion-Localization Network for High-Precision Underwater Positioning.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
Multi-Objective-Optimization Multi-Auv Assisted Data Collection Framework for Iout Based on Offline Reinforcement Learning.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
Never too Prim to Swim: An LLM-Enhanced RL-based Adaptive S-Surface Controller for AUVs under Extreme Sea Conditions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract).
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract).
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract).
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Environment- and Energy-Aware AUV-Assisted Data Collection for the Internet of Underwater Things.
IEEE Internet Things J., 2024
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning.
CoRR, 2024
Enhancing Information Freshness: An AoI Optimized Markov Decision Process Dedicated In the Underwater Task.
CoRR, 2024
Multi-AUV Assisted Seamless Underwater Target Tracking Relying on Deep Learning and Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Sensors, September, 2023