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20232026
most citedDiffusion Models as Network Optimizers: Explorations and Analysis

25 citations · 25 across the 22 of their papers we have counts for

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14 papers · 1 filter

cs.NI2026

Trajectory-Aware Multi-RIS Activation and Configuration: A Riemannian Diffusion Method

Kaining Wang, Bo Yang, Yusheng Lei +8

Reconfigurable intelligent surfaces (RISs) offer a low-cost, energy-efficient means for enhancing wireless coverage. Yet, their inherently programmable reflections may unintentiona…

cs.NI2026

Interference Propagation Analysis for Large-Scale Multi-RIS-Empowered Wireless Communications:An Epidemiological Perspective

Kaining Wang, Xueyao Zhang, Bo Yang +8

Reconfigurable intelligent surfaces (RISs) have gained significant attention in recent years due to their ability to control the reflection of radio-frequency signals and reshape t…

cs.NI2025

3D Gaussian Radiation Field Modeling for Integrated RIS-FAS Systems: Analysis and Optimization

Kaining Wang, Bo Yang, Yusheng Lei +7

The integration of reconfigurable intelligent surfaces (RIS) and fluid antenna systems (FAS) has attracted considerable attention due to its tremendous potential in enhancing wirel…

cs.NI2025

Optimization for Massive 3D-RIS Deployment: A Generative Diffusion Model-Based Approach

Kaining Wang, Bo Yang, Zhiwen Yu +3

Reconfigurable Intelligent Surfaces (RISs) transform the wireless environment by modifying the amplitude, phase, and polarization of incoming waves, significantly improving coverag…

cs.NI2025

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions

Hao Liu, Bo Yang, Zhiwen Yu +4

The Internet of Vehicles (IoV) transforms the transportation ecosystem promising pervasive connectivity and data-driven approaches. Deep learning and generative Artificial Intellig…

cs.NI2025

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…