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Yanan Xin

2 papers indexed

arxivcs.LG2026-07-20

Towards Reliable Zero-Shot Crowd Forecasting: Evaluating Time Series Foundation Models for Special Event Pedestrian Forecasting

Ziteng Li, Yanan Xin, Tina Comes, Serge Hoogendoorn

Managing massive crowds during infrequent special events requires reliable real-time pedestrian-flow forecasting to ensure public safety and operational efficiency. However, supervised forecasting methods face limitations in these contexts due to scarce historical data, heterogen…

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arxivcs.LGcs.AI2026-07-16

Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting

Theivaprakasham Hari, Yanan Xin, Winnie Daamen, Serge Paul Hoogendoorn, Sascha Hoogendoorn-Lanser

In many operational time-series forecasting applications, such as crowd demand forecasting, the risk related to under-prediction is substantially higher than that of over-prediction. Accurate prediction of rare demand spikes plays a critical role in downstream tasks. Yet most tim…

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