3 papers
cs.LG2026
TUBO: A Tailored ML Framework for Reliable Network Traffic Forecasting
Zhihang Yuan, Leyang Xue, Waleed Ahsan +1
Traffic forecasting based network operation optimization and management offers enormous promise but also presents significant challenges from traffic forecasting perspective. While…
cs.LG2026
AltTS: A Dual-Path Framework with Alternating Optimization for Multivariate Time Series Forecasting
Zhihang Yuan, Zhiyuan Liu, Mahesh K. Marina
Multivariate time series forecasting involves two qualitatively distinct factors: (i) stable within-series autoregressive (AR) dynamics, and (ii) intermittent cross-dimension inter…
cs.LG2024
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding
Chuanhao Sun, Zhihang Yuan, Kai Xu +4
Fourier features based positional encoding (PE) is commonly used in machine learning tasks that involve learning high-frequency features from low-dimensional inputs, such as 3D vie…