Yimian Ding

According to our database, Yimian Ding authored at least 12 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Never too Cocky to Cooperate: An FIM and RL-based USV-AUV Collaborative System for Underwater Tasks in Extreme Sea Conditions.

Jingzehua Xu, Guanwen Xie, Jiwei Tang, Yimian Ding, Weiyi Liu, Shuai Zhang, Yi Li

CoRR, April, 2025

EFILN: The Electric Field Inversion-Localization Network for High-Precision Underwater Positioning.

Yimian Ding, Jingzehua Xu, Guanwen Xie, Haoyu Wang, Weiyi Liu, Yi Li

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.

Yimian Ding, Xinqi Wang, Jingzehua Xu, Guanwen Xie, Weiyi Liu, Yi Li

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.

Guanwen Xie, Jingzehua Xu, Yimian Ding, Zhi Zhang, Shuai Zhang, Yi Li

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.

Yimian Ding, Jingzehua Xu, Guanwen Xie, Shuai Zhang, Yi Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

USV-AUV Collaboration Framework for Underwater Tasks under Extreme Sea Conditions.

Jingzehua Xu, Guanwen Xie, Xinqi Wang, Yimian Ding, Shuai Zhang

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).

Jingzehua Xu, Guanwen Xie, Yimian Ding, Yongming Zeng, Haoyu Wang, Shuai Zhang

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).

Guanwen Xie, Jingzehua Xu, Yiyuan Yang, Yimian Ding, Shuai Zhang

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).

Yimian Ding, Jingzehua Xu, Yiyuan Yang, Guanwen Xie, Xinqi Wang, Shuai Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning.

Guanwen Xie, Jingzehua Xu, Yiyuan Yang, Yimian Ding, Shuai Zhang

CoRR, 2024

Enhancing Information Freshness: An AoI Optimized Markov Decision Process Dedicated In the Underwater Task.

Jingzehua Xu, Yimian Ding, Yiyuan Yang, Guanwen Xie, Shuai Zhang

CoRR, 2024

Multi-AUV Assisted Seamless Underwater Target Tracking Relying on Deep Learning and Reinforcement Learning.

Jingzehua Xu, Yimian Ding, Zekai Zhang, Guanwen Xie, Ziyuan Wang, Yongming Zeng, Gang Li

Proceedings of the International Joint Conference on Neural Networks, 2024