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20212025
most citedSpatio-Temporal Dual Graph Neural Networks for Travel Time Estimation

19 citations · 49 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph

Chang Liu, Huan Yan, Hongjie Sui +7

Instant food delivery has become one of the most popular web services worldwide due to its convenience in daily life. A fundamental challenge is accurately predicting courier route…

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…

cs.AI2023★ 8 cited

A Survey of Generative AI for Intelligent Transportation Systems: Road Transportation Perspective

Huan Yan, Yong Li

Intelligent transportation systems are vital for modern traffic management and optimization, greatly improving traffic efficiency and safety. With the rapid development of generati…

eess.SY2023★ 1 cited

Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data

Huandong Wang, Huan Yan, Can Rong +6

Complex system simulation has been playing an irreplaceable role in understanding, predicting, and controlling diverse complex systems. In the past few decades, the multi-scale sim…

cs.LG2021★ 5 cited

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

Fuxian Li, Jie Feng, Huan Yan +3

Traffic prediction is the cornerstone of an intelligent transportation system. Accurate traffic forecasting is essential for the applications of smart cities, i.e., intelligent tra…

cs.AI2021★ 19 cited

Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation

Guangyin Jin, Huan Yan, Fuxian Li +2

Travel time estimation is one of the core tasks for the development of intelligent transportation systems. Most previous works model the road segments or intersections separately b…