10 citations · 10 across the 1 of their papers we have counts for
3 papers
cs.LG2025
Temporal Query Network for Efficient Multivariate Time Series Forecasting
Shengsheng Lin, Haojun Chen, Haijie Wu +2
Sufficiently modeling the correlations among variables (aka channels) is crucial for achieving accurate multivariate time series forecasting (MTSF). In this paper, we propose a nov…
cs.LG2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Shengsheng Lin, Weiwei Lin, Xinyi Hu +3
The stable periodic patterns present in time series data serve as the foundation for conducting long-horizon forecasts. In this paper, we pioneer the exploration of explicitly mode…
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…