Xiucheng Wang

Orcid: 0000-0003-1439-4875

According to our database1, Xiucheng Wang authored at least 26 papers between 2021 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network.
IEEE Internet Things J., November, 2024

Dynamic Neural Network-Based Resource Management for Mobile Edge Computing in 6G Networks.
IEEE Trans. Cogn. Commun. Netw., June, 2024

RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity.
IEEE Trans. Mob. Comput., May, 2024

Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model.
CoRR, 2024

GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network.
CoRR, 2024

RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction.
CoRR, 2024

Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization.
CoRR, 2024

Trapezoidal Gradient Descent for Effective Reinforcement Learning in Spiking Networks.
CoRR, 2024

Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development.
CoRR, 2024

Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges.
CoRR, 2024

2023
AI for UAV-Assisted IoT Applications: A Comprehensive Review.
IEEE Internet Things J., August, 2023

Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach.
CoRR, 2023

Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning.
CoRR, 2023

Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

CNN-Based Synergetic Beamforming for Symbiotic Secure Transmissions in Integrated Satellite-Terrestrial Network.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Label-Free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks.
Proceedings of the IEEE Global Communications Conference, 2023

Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Joint Flying Relay Location and Routing Optimization for 6G UAV-IoT Networks: A Graph Neural Network-Based Approach.
Remote. Sens., 2022

On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks.
CoRR, 2022

Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer.
Proceedings of the 5th International Conference on Communications, 2022

2021
Mobility-Aware Computation Offloading for Swarm Robotics using Deep Reinforcement Learning.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021


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