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Zhou-Yang Liu

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#machine learning Preprint Sep 2026

A Multi-Resolution Multi-Domain Pre-Training Framework for Universal Traffic Forecasting

This work proposes FlexST, a novel pre-training framework that introduces modularity and adaptivity for traffic modeling, and devise a unified periodic encoding strategy that injects resolution- and domain-aware inductive biases to harmonize periodic inconsistencies across datasets.

Zhou-Yang Liu, Jin-Dong Han, Hao Wang et al. · 0 citations