3 papers
cs.AI2026
Bridging the Last Mile of Time Series Forecasting with LLM Agents
Yuhua Liao, Zetian Wang, Qiangqiang Nie +1
Time series forecasting has advanced rapidly, especially with the emergence of foundation models that show strong zero-shot performance on numerical extrapolation. However, in real…
math.OC2025
A Relaxed Wasserstein Distance Formulation for Mixtures of Radially Contoured Distributions
Keyu Chen, Zetian Wang, Yunxin Zhang
Recently, a Wasserstein-type distance for Gaussian mixture models has been proposed. However, that framework can only be generalized to identifiable mixtures of general ellipticall…
cs.LG2024
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting
Yuhua Liao, Zetian Wang, Peng Wei +2
Deep learning and pre-trained models have shown great success in time series forecasting. However, in the tourism industry, time series data often exhibit a leading time property,…