Xiucheng Wang

Orcid: 0000-0003-1439-4875

According to our database1, Xiucheng Wang authored at least 42 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
A Survey of Graph-Based Resource Management in Wireless Networks - Part II: Learning Approaches.
IEEE Trans. Cogn. Commun. Netw., August, 2025

A Survey of Graph-Based Resource Management in Wireless Networks - Part I: Optimization Approaches.
IEEE Trans. Cogn. Commun. Netw., August, 2025

QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach.
CoRR, August, 2025

Mixture of Gradient: A Unified Enhancing Approach for Deep-Learning-Based Wireless Network Optimization.
IEEE Internet Things J., July, 2025

RadioDiff-3D: A 3D⨉3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication.
CoRR, July, 2025

On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach.
CoRR, July, 2025

Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application.
CoRR, June, 2025

Polarity-Focused Denoising for Event Cameras.
IEEE Trans. Circuits Syst. Video Technol., May, 2025

RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction.
IEEE Trans. Cogn. Commun. Netw., April, 2025

RadioDiff-k<sup>2</sup>: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction.
CoRR, April, 2025

RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction.
CoRR, April, 2025

Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming.
CoRR, February, 2025

Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges.
IEEE Netw., January, 2025

Erasing Noise in Signal Detection with Diffusion Model: From Theory to Application.
CoRR, January, 2025

Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Com<sup>2</sup>: An Integrated Framework for Communication and Computation Delay Trade-Off.
Proceedings of the 35th IEEE International Symposium on Personal, 2024

ALWNN: Automatic Modulation Classification via Adaptive Lightweight Wavelet Neural Network.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

DTA-RL: Dynamic Topology Adaptive Reinforcement Learning Approach for Task Offloading in Mobile Edge Computing.
Proceedings of the 2024 IEEE Global Communications Conference, 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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