3 papers
cs.LG2026
UME: A Unified Meta-Generalization Framework for Cross-Domain ETA
Duo Wang, Qiong Wu, Jianguo Wu +9
Accurate Estimated Time of Arrival (ETA) prediction on checkout page is crucial in instant logistics for enhancing user satisfaction, optimizing dispatching, and controlling operat…
cs.LG2025
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
Jinhui Yi, Huan Yan, Haotian Wang +2
Prediction of couriers' delivery timely rates in advance is essential to the logistics industry, enabling companies to take preemptive measures to ensure the normal operation of de…
cs.LG2025
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
Jinhui Yi, Huan Yan, Haotian Wang +2
Accurately estimating package delivery time is essential to the logistics industry, which enables reasonable work allocation and on-time service guarantee. This becomes even more n…