6 papers
Nearly Optimal Subdata Selection
Min Yang, Wei Zheng, John Stufken +3
When, in terms of the number of data points, the size of a dataset exceeds available computing resources, or when labeling is expensive, an attractive solution consists of selectin…
Reconstructing and Forecasting Marine Dynamic Variable Fields across Space and Time Globally and Gaplessly
Zhixi Xiong, Yukang Jiang, Wenfang Lu +2
Spatiotemporal projections in marine science are essential for understanding ocean systems and their impact on Earth's climate. However, existing AI-based and statistics-based inve…
Batch mode active learning for efficient parameter estimation
Wei Zheng, Ting Tian, Xueqin Wang
For many tasks of data analysis, we may only have the information of the explanatory variable and the evaluation of the response values are quite expensive. While it is impractical…
Interpreting and predicting the economy flows: A time-varying parameter global vector autoregressive integrated the machine learning model
Yukang Jiang, Xueqin Wang, Zhixi Xiong +2
The paper proposes a time-varying parameter global vector autoregressive (TVP-GVAR) framework for predicting and analysing developed region economic variables. We want to provide a…
The impact of spatio-temporal travel distance on epidemics using an interpretable attention-based sequence-to-sequence model
Yukang Jiang, Ting Tian, Huajun Xie +2
Amidst the COVID-19 pandemic, travel restrictions have emerged as crucial interventions for mitigating the spread of the virus. In this study, we enhance the predictive capabilitie…
The Effects of Stringent Interventions for Coronavirus Pandemic
Ting Tian, Wenxiang Luo, Yukang Jiang +4
The pandemic of COVID-19 has caused severe public health consequences around the world. Many interventions of COVID-19 have been implemented. It is of great public health and socie…