5 papers
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…
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…
Computational analysis of pathological image enables interpretable prediction for microsatellite instability
Jin Zhu, Wangwei Wu, Yuting Zhang +4
Microsatellite instability (MSI) is associated with several tumor types and its status has become increasingly vital in guiding patient treatment decisions. However, in clinical pr…
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…