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cs.LG2026
ZeroS: Zero-Sum Linear Attention for Efficient Transformers
Jiecheng Lu, Xu Han, Yan Sun +4
Linear attention methods offer Transformers complexity but typically underperform standard softmax attention. We identify two fundamental limitations affecting these approac…
cs.LG2024
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
Jiecheng Lu, Xu Han, Yan Sun +1
We propose a Weighted Autoregressive Varying gatE (WAVE) attention mechanism equipped with both Autoregressive (AR) and Moving-average (MA) components. It can adapt to various atte…