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ZoomDiff is proposed, a diffusion-based model for multi-scale mobile traffic generation that maps urban environmental context into mobile traffic with multiple spatial and temporal resolutions through a set of customized Denoising Refinement Diffusion Models (DRDM).
A physics-guided two-stage training scheme with a noise prior guidance mechanism, enabling effective fusion of multi-scale physical knowledge with the diffusion models, resulting in a diffusion-model-based RSRP prediction model, Channel-Diff.
This work identifies two dimensions of diversity preferences—validated by psychological theory and readily inferable from interaction data and modeled using graph neighbor sampling: user preferences for diverse content across category levels, and preferences for fine-grained diversity within broad-level interests: user...
VPPEvolve is a reasoning-guided evolutionary framework for hierarchical VPP scheduling that tackles three key challenges through three complementary designs: an evolvable chained program representation that formalizes hierarchical VPP dynamics through executable structures; a spatio-temporal profiling and reflection mo...
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