Author

Xin-Yue 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

Book Open access Aug 2026

DSETA: A Dual-Stage Continual Learning Framework for Travel Time Prediction in Dynamic Traffic Environments

This work designs and develops an incrementally updated Dual-Stage ETA prediction framework that has been successfully deployed in DiDi's production environment, processing hundreds of millions of daily requests and validating its strong performance in industrial applications.

Yanming Lyu, Yue Cheng, Lingkun Li et al. · Proceedings of the 32nd ACM... · 0 citations