This work proposes CEDAR (Controlled and Event-Driven Demand forecasting via Action-aware Residual decomposition), a two-stage framework for robust decision-conditioned simulation that consistently improves simulation accuracy over strong TSF baselines and delivers practical gains for real-world budget planning.
Jun-Jie Meng, Ran Zhang, Zi-An Zhang et al.· Proceedings of the 32nd ACM...· 1 citation· ⚡1
Forecasting in large-scale e-commerce marketplaces is increasingly required to support planning : merchants need to evaluate sales outcomes under future action sequences such as budget schedules, rather than passively predicting what happens next. However, most existing time series forecasting (TSF) approaches remain i...
Junjie Meng, Ran Zhang, Zi-An Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
TSN4PI, a unified framework for tracking the evolution of political ideologies on social media, includes two core modules: the PIDN and the PIPN, which employs temporal graph neural networks to predict future ideological shifts, enabling comprehensive analysis of ideology presence, intensity, and evolution.
