3 papers
cs.LG2026
VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion
Yanlong Wang, Hang Yu, Jian Xu +7
Large time series foundation models often adopt channel-independent architectures to handle varying data dimensions, but this design ignores crucial cross-channel dependencies. Mea…
cs.LG2026
Training Neural Networks with Optimal Double-Bayesian Learning
Vy Bui, Hang Yu, Karthik Kantipudi +2
Backpropagation with gradient descent is a common optimization strategy employed by most neural network architectures in machine learning. However, finding optimal hyperparameters…
q-fin.CP2025
FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model
Yanlong Wang, Jian Xu, Fei Ma +8
Financial time series forecasting is both highly significant and challenging. Previous approaches typically standardized time series data before feeding it into forecasting models,…