5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review
Yuchen Fang, Hao Miao, Yuxuan Liang +9
Spatio-temporal deep learning models aims to utilize useful patterns in such data to support tasks like prediction. However, previous deep learning models designed for specific tas…
cs.LG2021★ 5 cited
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
Yue Cui, Jiandong Xie, Kai Zheng
Long sequence time-series forecasting (LSTF) has become increasingly popular for its wide range of applications. Though superior models have been proposed to enhance the prediction…