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20242026
most citedSub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods

1 citations · 3 across the 6 of their papers we have counts for

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cs.LG2025

OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain

Wenzhen Yue, Yong Liu, Haoxuan Li +5

This paper presents , a -based multivariate time series forecasting model that operates in an rthogonally transformed domain. Recent…

cs.LG2025★ 1 cited

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting

Wenzhen Yue, Yong Liu, Xianghua Ying +3

This paper presents \textbf{FreEformer}, a simple yet effective model that leverages a \textbf{Fre}quency \textbf{E}nhanced Trans\textbf{former} for multivariate time series foreca…

cs.CV2025

Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes

Ji Shi, Xianghua Ying, Ruohao Guo +2

Neural Radiance Fields (NeRF) often struggle with reconstructing and rendering highly reflective scenes. Recent advancements have developed various reflection-aware appearance mode…