2 papers
cs.LG2026
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Cheng Chen +2
Time series forecasting is critical across multiple domains, where time series data exhibit both local patterns and global dependencies. While Transformer-based methods effectively…
cs.LG2024
WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Dongyue Guo +2
Deep learning models have recently achieved significant performance improvements in time series forecasting. We present a highly accurate and simply structured CNN-based model with…