3 papers
cs.LG2026
Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting
Jinjin Chi, Lei Feng, Lulu Zhang +6
Time series foundation models (TSFMs) have recently achieved strong zero-shot forecasting performance through large-scale pretraining and retrieval-augmented prediction. However, o…
cs.LG2025
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Yiming Niu, Jinliang Deng, Lulu Zhang +2
Accurate and efficient multivariate time series (MTS) forecasting is essential for applications such as traffic management and weather prediction, which depend on capturing long-ra…
cs.LG2025
Understanding and Mitigating the High Computational Cost in Path Data Diffusion
Dingyuan Shi, Lulu Zhang, Yongxin Tong +1
Advancements in mobility services, navigation systems, and smart transportation technologies have made it possible to collect large amounts of path data. Modeling the distribution…