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Silin Zhou

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Conference Open access Sep 2026

Coarse-to-Fine Latent Guidance: A Multi-Scale Diffusion Transformer for Traffic Flow Forecasting

Accurate traffic flow prediction is fundamental to Intelligent Transportation Systems (ITS). However, traffic dynamics exhibit inherent multi-scale heterogeneity, where stable global trends are often masked by stochastic local fluctuations. Existing methods struggle to reconcile these conflicting resolutions, leading t...

Ze-Tao Li, Silin Zhou, Zheng Hu et al. · 0 citations
Aug 2026

Mobility tokens with routine-aware learning for LLM-based human mobility prediction

Experiments show that MoRAL consistently outperforms statistical and LLM-based baselines under the GEO-BLEU metric, improving the mean score over the strongest baseline by 5.82% and achieving a 2.6 times reduction in per-user inference time relative to recent LLM baselines using the same backbone.

Chenhao Wang, Qingsen Ge, Nan Hu et al. · 0 citations

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