3 citations · 7 across the 4 of their papers we have counts for
4 papers
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Xing Wang, Zhendong Wang, Kexin Yang +4
Long-term time series forecasting plays an important role in various real-world scenarios. Recent deep learning methods for long-term series forecasting tend to capture the intrica…
Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction
Xing Wang, Kexin Yang, Zhendong Wang +4
Cellular traffic prediction is an indispensable part for intelligent telecommunication networks. Nevertheless, due to the frequent user mobility and complex network scheduling mech…
Network Topology Optimization via Deep Reinforcement Learning
Zhuoran Li, Xing Wang, Ling Pan +5
Topology impacts important network performance metrics, including link utilization, throughput and latency, and is of central importance to network operators. However, due to the c…
GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection
Xiaolei Hua, Lin Zhu, Shenglin Zhang +5
The reliability of wireless base stations in China Mobile is of vital importance, because the cell phone users are connected to the stations and the behaviors of the stations are d…