Peng Chen

Efficient and explainable multivariate time series forecasting: a survey of architectures, taxonomies, and open challenges

Abstract The rapid expansion of multivariate time series (MTS) data has made deep learning a central tool for forecasting across industrial and scientific domains. As these architectures move into settings such as clinical decision support, industrial monitoring, and financial ri...

Factors associated with exclusive breastfeeding at 6 weeks postpartum in Southwest China: a cross-sectional study

Breastfeeding is known to be shaped by a complex interplay of socio-demographic, medical, and psychological factors. However, there is a lack of research on the determinants of breastfeeding at 6 weeks postpartum. This study aimed to examine factors associated with exclusive brea...

PEMTCL: A Prompt-Enhanced Multi-Task Contrastive Learning Framework for Fine-Grained Toxic Language Detection

Fine-grained toxic language detection aims to assess the harmfulness, expression style, and attack target of textual content, supporting refined content moderation on online platforms. Most existing methods model each subtask independently, failing to exploit semantic correlation...