3 papers
cs.LG2026
Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic Forecasting
Qingzhong Li, Yue Hu, Hui Ma +4
Accurate forecasting of cellular network traffic is essential for network planning, resource allocation, and quality-of-service assurance in modern mobile communication systems. Re…
cs.NI2026
GraFSTNet: Graph-based Frequency SpatioTemporal Network for Cellular Traffic Prediction
Ziyi Li, Hui Ma, Fei Xing +2
With rapid expansion of cellular networks and the proliferation of mobile devices, cellular traffic data exhibits complex temporal dynamics and spatial correlations, posing challen…
cs.LG2026
AsynDBT: Asynchronous Distributed Bilevel Tuning for efficient In-Context Learning with Large Language Models
Hui Ma, Shaoyu Dou, Ya Liu +3
With the rapid development of large language models (LLMs), an increasing number of applications leverage cloud-based LLM APIs to reduce usage costs. However, since cloud-based mod…