13 citations · 16 across the 3 of their papers we have counts for
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★ 13 cited
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★ 3 cited
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…