4 citations · 4 across the 5 of their papers we have counts for
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cs.LG2026
MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion
Yilai Liu, Shiyuan Zhang, Hongyang Du
Mobile usage traces are critical for tasks such as user behavior prediction and app recommendation, yet their use is constrained by privacy restrictions and costly large-scale data…
cs.LG2025
LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction
Shiyuan Zhang, Tong Li, Zhu Xiao +2
Service-level mobile traffic prediction for individual users is essential for network efficiency and quality of service enhancement. However, current prediction methods are limited…
cs.LG2024★ 4 cited
UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization
Haoye Chai, Shiyuan Zhang, Xiaoqian Qi +2
Mobile traffic forecasting allows operators to anticipate network dynamics and performance in advance, offering substantial potential for enhancing service quality and improving us…