Yiming Wang

Perturbation Matters in Time Series Forecasting: A Wave-attention-aware Transformer Method

Time series forecasting (TSF) refers to a fundamental task of predicting future sequential data based on historical observations. One representative category of TSF methods is transformer-based approaches, which translate time series into token sequences (i.e., as raw texts) before applying well-established transformer...