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20242026
most citedLeveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations

1 citations · 1 across the 8 of their papers we have counts for

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cs.LG2026

TEFL: Prediction-Residual-Guided Rolling Forecasting for Multi-Horizon Time Series

Xiannan Huang, Shen Fang, Shuhan Qiu +3

Time series forecasting plays a critical role in domains such as transportation, energy, and meteorology. Despite their success, modern deep forecasting models are typically traine…

cs.LG2026

Learning from Yesterday's Error: An Efficient Online Learning Method for Traffic Demand Prediction

Xiannan Huang, Quan Yuan, Chao Yang

Accurately predicting short-term traffic demand is critical for intelligent transportation systems. While deep learning models achieve strong performance under stationary condition…