3 papers
cs.NI2026
Cross-Problem Solving for Network Optimization: Is Problem-Aware Learning the Key?
Ruihuai Liang, Bo Yang, Pengyu Chen +4
As intelligent network services continue to diversify, ensuring efficient and adaptive resource allocation in edge networks has become increasingly critical. Yet the wide functiona…
cs.NI2025
GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks
Ruihuai Liang, Bo Yang, Pengyu Chen +6
Optimization is crucial for MEC networks to function efficiently and reliably, most of which are NP-hard and lack efficient approximation algorithms. This leads to a paucity of opt…
cs.LG2025
Diffusion Models as Network Optimizers: Explorations and Analysis
Ruihuai Liang, Bo Yang, Pengyu Chen +8
Network optimization is a fundamental challenge in the Internet of Things (IoT) network, often characterized by complex features that make it difficult to solve these problems. Rec…