Jingzehua Xu

According to our database, Jingzehua Xu authored at least 33 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Ocean Diviner: A Diffusion-Augmented Reinforcement Learning for AUV Robust Control in the Underwater Tasks.

Weiyi Liu, Jingzehua Xu, Guanwen Xie, Yi Li

CoRR, July, 2025

Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks.

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

CoRR, June, 2025

ViP²-CLIP: Visual-Perception Prompting with Unified Alignment for Zero-Shot Anomaly Detection.

Ziteng Yang, Jingzehua Xu, Yanshu Li, Zepeng Li, Yeqiang Wang, Xinghui Li

CoRR, May, 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

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

CoRR, March, 2025

UPEGSim: An RL-Enabled Simulator for Unmanned Underwater Vehicles Dedicated in the Underwater Pursuit-Evasion Game.

Jingzehua Xu, Guanwen Xie, Zekai Zhang, Xiangwang Hou, Shuai Zhang, Yong Ren, Dusit Niyato

IEEE Internet Things J., 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

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

LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling.

Yubo Huang, Xin Lai, Muyang Ye, Anran Zhu, Zixi Wang, Jingzehua Xu, Shuai Zhang, Zhiyuan Zhou, Weijie Niu

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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Eye in the Sky: Energy Efficient Model-Based Reinforcement Learning Aided Target Tracking Using UAVs.

Yi Xia, Zekai Zhang, Jingzehua Xu, Pengfei Ren, Jingjing Wang, Zhu Han

IEEE Trans. Veh. Technol., December, 2024

Multi-AUV Pursuit-Evasion Game in the Internet of Underwater Things: An Efficient Training Framework via Offline Reinforcement Learning.

Jingzehua Xu, Zekai Zhang, Jingjing Wang, Zhu Han, Yong Ren

IEEE Internet Things J., October, 2024

Standoff Target Tracking for Networked UAVs With Specified Performance via Deep Reinforcement Learning.

Yi Xia, Jun Du, Zekai Zhang, Ziyuan Wang, Jingzehua Xu, Weishi Mi

IEEE J. Sel. Top. Signal Process., April, 2024

Environment- and Energy-Aware AUV-Assisted Data Collection for the Internet of Underwater Things.

Zekai Zhang, Jingzehua Xu, Guanwen Xie, Jingjing Wang, Zhu Han, Yong Ren

IEEE Internet Things J., 2024

Is FISHER All You Need in The Multi-AUV Underwater Target Tracking Task?

Jingzehua Xu, Guanwen Xie, Ziqi Zhang, Xiangwang Hou, Dongfang Ma, Shuai Zhang, Yong Ren, Dusit Niyato

CoRR, 2024

CausalVE: Face Video Privacy Encryption via Causal Video Prediction.

Yubo Huang, Wenhao Feng, Xin Lai, Zixi Wang, Jingzehua Xu, Shuai Zhang, Hongjie He, Fan Chen

CoRR, 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

ADR-BC: Adversarial Density Weighted Regression Behavior Cloning.

Ziqi Zhang, Zifeng Zhuang, Donglin Wang, Jingzehua Xu, Miao Liu, Shuai Zhang

CoRR, 2024

Context-Former: Stitching via Latent Conditioned Sequence Modeling.

Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang

CoRR, 2024

Vol and Energy-Aware AUV-Assisted Data Collection for Internet of Underwater Things.

Jingzehua Xu, Zekai Zhang, Ziyuan Wang, Jingjing Wang, Yong Rent

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

UUVSim: Intelligent Modular Simulation Platform for Unmanned Underwater Vehicle Learning.

Zekai Zhang, Jingzehua Xu, Jun Du, Weishi Mi, Ziyuan Wang, Zonglin Li, Yong Ren

Proceedings of the International Joint Conference on Neural Networks, 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

AUV Efficient Navigation Relying on Adaptive Proximal Policy Optimization.

Jingzehua Xu, Yongming Zeng, Jintao Zhang, Xuanchen Li, Lingru Meng, Haocai Huang, Jingjing Wang, Yong Ren

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Robust Navigation for Unmanned Surface Vehicle Utilizing Improved Distributional Soft Actor-Critic.

Jingzehua Xu, Ziqi Jia, Zekai Zhang, Tianyu Xing, Jingjing Wang, Yong Ren

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Multimodal Monocular Dense Depth Estimation with Event-Frame Fusion Using Transformer.

Baihui Xiao, Jingzehua Xu, Zekai Zhang, Tianyu Xing, Jingjing Wang, Yong Ren

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

One Process Spatiotemporal Learning of Transformers via Vcls Token for Multivariate Time Series Forecasting.

Tao Cai, Haixiang Wu, Dejiao Niu, Xuewen Xia, Jie Jiang, Jingzehua Xu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Comprehensive Simulation Framework for Space-Air-Ground Integrated Network Propagation Channel Research.

Zekai Zhang, Shaoyang Song, Jingzehua Xu, Ziyuan Wang, Xiangwang Hou, Ming Zeng, Wei Men, Yong Ren

Sensors, November, 2023

Fisher-Information-Matrix-Based USBL Cooperative Location in USV-AUV Networks.

Ziyuan Wang, Jingzehua Xu, Yuanzhe Feng, Yijing Wang, Guanwen Xie, Xiangwang Hou, Wei Men, Yong Ren

Sensors, September, 2023

Adaptive Proximal Policy Optimization with Upper Confidence Bound.

Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang

CoRR, 2023