3 papers
stat.ML2026
Spectra-Guided Neural Tucker Factorization
Fusheng Wang, Yikai Hou
This paper proposes Spectra-Guided Neural Tucker Factorization (SG-NTF) for High-Dimensional and Incomplete (HDI) tensor completion. Circumventing discrete representational limits,…
cs.LG2025
Breaking the Context Bottleneck on Long Time Series Forecasting
Chao Ma, Yikai Hou, Xiang Li +4
Long-term time-series forecasting is essential for planning and decision-making in economics, energy, and transportation, where long foresight is required. To obtain such long fore…
cs.LG2025
Long Input Sequence Network for Long Time Series Forecasting
Chao Ma, Yikai Hou, Xiang Li +2
Short fixed-length inputs are the main bottleneck of deep learning methods in long time-series forecasting tasks. Prolonging input length causes overfitting, rapidly deteriorating…