Publications

NuwaTS: a Foundation Model Mending Every Incomplete Time Series

Published in , 2025

We introduce a novel solution, NuwaTS, capable of performing missing data imputation tasks on any incomplete time series unseen during the training phase. To the best of our knowledge, this represents the pioneering attempt in this field.

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach

Published in , 2025

This paper presents the Super-Multivariate Urban Mobility Transformer (SUMformer), which utilizes a specially designed attention mechanism to calculate temporal and cross-variable correlations and reduce computational costs stemming from a large number of time series.

Jinguo Cheng

Publications

NuwaTS: a Foundation Model Mending Every Incomplete Time Series

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach