120 citations · 269 across the 15 of their papers we have counts for
4 papers · 1 filter
Frontiers of Generative AI for Network Optimization: Theories, Limits, and Visions
Bo Yang, Ruihuai Liang, Weixin Li +8
While interest in the application of generative AI (GenAI) in network optimization has surged in recent years, its rapid progress has often overshadowed critical limitations intrin…
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…
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…
DiffSG: A Generative Solver for Network Optimization with Diffusion Model
Ruihuai Liang, Bo Yang, Zhiwen Yu +5
Generative diffusion models, famous for their performance in image generation, are popular in various cross-domain applications. However, their use in the communication community h…