42 citations · 56 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 10 cited
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
Shengsheng Lin, Weiwei Lin, Wentai Wu +2
This paper introduces SparseTSF, a novel, extremely lightweight model for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal…
cs.LG2023★ 42 cited
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
Shengsheng Lin, Weiwei Lin, Wentai Wu +3
RNN-based methods have faced challenges in the Long-term Time Series Forecasting (LTSF) domain when dealing with excessively long look-back windows and forecast horizons. Consequen…
cs.LG2023★ 4 cited
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer
Shengsheng Lin, Weiwei Lin, Wentai Wu +2
Recently, the superiority of Transformer for long-term time series forecasting (LTSF) tasks has been challenged, particularly since recent work has shown that simple models can out…