13 citations · 22 across the 56 of their papers we have counts for
7 papers · 1 filter
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
Keda Tao, Jinjin Gu, Yulun Zhang +2
We introduce a novel Multi-modal Guided Real-World Face Restoration (MGFR) technique designed to improve the quality of facial image restoration from low-quality inputs. Leveraging…
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
Yuhao Pan, Xiucheng Wang, Zhiyao Xu +3
Unmanned Aerial Vehicles (UAVs), due to their low cost and high flexibility, have been widely used in various scenarios to enhance network performance. However, the optimization of…
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
Xiucheng Wang, Keda Tao, Nan Cheng +4
Radio map (RM) is a promising technology that can obtain pathloss based on only location, which is significant for 6G network applications to reduce the communication costs for pat…
Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization
Xiucheng Wang, Qi Qiu, Nan Cheng
In this paper, we investigate a special class of quadratic-constrained quadratic programming (QCQP) with semi-definite constraints. Traditionally, since such a problem is non-conve…
Trapezoidal Gradient Descent for Effective Reinforcement Learning in Spiking Networks
Yuhao Pan, Xiucheng Wang, Nan Cheng +1
With the rapid development of artificial intelligence technology, the field of reinforcement learning has continuously achieved breakthroughs in both theory and practice. However,…
Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
Longfei Ma, Nan Cheng, Xiucheng Wang +4
The development of Digital Twins (DTs) represents a transformative advance for simulating and optimizing complex systems in a controlled digital space. Despite their potential, the…
Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges
Nan Cheng, Xiucheng Wang, Zan Li +3
This article presents a digital twin (DT)-enhanced reinforcement learning (RL) framework aimed at optimizing performance and reliability in network resource management, since the t…