Xiaowen Ye

24 papers B 1C 1Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach.
IEEE Trans. Wirel. Commun.
Xiaowen Ye, Yuyi Mao, Xianghao Yu, Shu Sun, Liqun Fu, Jie Xu
2026 J jnl
Intelligent Omni-Surface-Aided Multi-Objective ISAC: A Meta Hybrid Deep Reinforcement Learning Approach.
IEEE Trans. Mob. Comput.
Xiaowen Ye, Xianxin Song, Yi Wu, Liqun Fu
2026 J jnl
Interictal Epileptiform Discharge Detection Using Dual-Domain Features and GAN.
IEEE J. Biomed. Health Informatics
Wenhao Rao, Jiayang Guo, Chunran Zhu, Meiyan Xu, Naian Xiao, Yijie Pan, Ling Zhang, Xiaowen Ye, Jun Jiang, Xiaolu Wang, Peipei Gu, Duo Chen
2025 J jnl
Digital-Twin-Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems.
IEEE Internet Things J.
Xiaowen Ye, Xianghao Yu, Liqun Fu
2025 J jnl
Energy-Efficient Link Adaptation for Underwater Acoustic Communications Based on Meta Deep Reinforcement Learning.
IEEE Internet Things J.
Xiaowen Ye, Liqun Fu, Xianxin Song, Yi Wu
2025 J jnl
Intelligent Omni-Surface-Aided Integrated Sensing and Communications Based on Deep Reinforcement Learning With Knowledge Transfer.
IEEE Trans. Wirel. Commun.
Xiaowen Ye, Yuyi Mao, Xianghao Yu, Liqun Fu
2025 J jnl
Joint MCS Adaptation and Beamforming Design for Multiuser MISO Systems: A Constrained Hybrid Deep Reinforcement Learning Approach.
IEEE Internet Things J.
Xiaowen Ye, Yuyi Mao, Xianghao Yu, Liqun Fu
2025 J jnl
Leveraging Propagation Delays: A Delay-Aware Multiagent Reinforcement Learning MAC Protocol for Underwater Acoustic Networks.
IEEE Internet Things J.
Jiajie Huang, Xiaowen Ye, Yizhe Wang, Liqun Fu
2024 J jnl
Deep Reinforcement Learning-Based Scheduling for NR-U/WiGig Coexistence in Unlicensed mmWave Bands.
IEEE Trans. Wirel. Commun.
Xiaowen Ye, Qian Zhou, Liqun Fu
2024 J jnl
Digital Twin Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems.
CoRR
Xiaowen Ye, Xianghao Yu, Liqun Fu
2024 J jnl
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach.
CoRR
Xiaowen Ye, Yuyi Mao, Xianghao Yu, Shu Sun, Liqun Fu, Jie Xu
2024 J jnl
Joint Codebook Selection and MCS Adaptation for MmWave eMBB Services Based on Deep Reinforcement Learning.
IEEE Internet Things J.
Xiaowen Ye, Liqun Fu, John M. Cioffi
2024 J jnl
Joint Codebook Selection and UE Scheduling for Unlicensed MmWave NR-U/WiGig Coexistence Based on Deep Reinforcement Learning.
IEEE Trans. Mob. Comput.
Xiaowen Ye, Liqun Fu
2024 J jnl
Joint MCS Adaptation and RB Allocation in Cellular Networks Based on Deep Reinforcement Learning With Stable Matching.
IEEE Trans. Mob. Comput.
Xiaowen Ye, Liqun Fu
2023 J jnl
Deep Reinforcement Learning Based Link Adaptation Technique for LTE/NR Systems.
IEEE Trans. Veh. Technol.
Xiaowen Ye, Yiding Yu, Liqun Fu
2023 — conf
MAC Protocol for Underwater Acoustic Multi-Cluster Networks Based on Multi-Agent Reinforcement Learning.
WUWNet
Jiajie Huang, Xiaowen Ye, Liqun Fu
2023 — conf
Research on Application of Generative Adversarial Neural Network in Image Restoration.
CSCloud/EdgeCom
YinE Zhang, Xiaowen Ye, Qi Zhou
2022 J jnl
Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks.
IEEE Trans. Mob. Comput.
Xiaowen Ye, Yiding Yu, Liqun Fu
2022 — conf
Deep Reinforcement Learning Based Scheduling Scheme for the NR-U/WiGig Coexistence in Unlicensed mmWave Bands.
ICC
Qian Zhou, Xiaowen Ye, Liqun Fu
2022 J jnl
Multi-Channel Opportunistic Access for Heterogeneous Networks Based on Deep Reinforcement Learning.
IEEE Trans. Wirel. Commun.
Xiaowen Ye, Yiding Yu, Liqun Fu
2021 J jnl
Modified AC/DC Unified Power Flow and Energy-Saving Evaluation for Urban Rail Power Supply System With Energy Feedback Systems.
IEEE Trans. Veh. Technol.
Wei Liu, Jian Zhang, Hui Wang, Tuojian Wu, Ying Lou, Xiaowen Ye
2020 B conf
MAC Protocol for Multi-channel Heterogeneous Networks Based on Deep Reinforcement Learning.
GLOBECOM
Xiaowen Ye, Yiding Yu, Liqun Fu
2020 J jnl
The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols.
CoRR
Xiaowen Ye, Yiding Yu, Liqun Fu
2017 C conf
Optimal design of inverter feedback device for urban rail traction power supply system.
IECON
Xiaowen Ye, Wei Liu, Ying Lou