Urban-scale poi updating with crowd intelligence

Z Hong, H Wang, W Lyu, H Wang, Y Liu… - Proceedings of the …, 2023 - dl.acm.org
Points of Interest (POIs), such as entertainment, dining, and living, are crucial for urban
planning and location-based services. However, the high dynamics and expensive updating …

Complex-Path: Effective and Efficient Node Ranking with Paths in Billion-Scale Heterogeneous Graphs

J Hang, Z Hong, X Feng, G Wang, D Cao… - Proceedings of the …, 2024 - dl.acm.org
Node ranking in heterogeneous graphs, which quantifies the relative importance of nodes,
can often be improved by incorporating information from relevant paths. Graph database …

Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs

J Hang, Z Hong, X Feng, G Wang, G Yang, F Li… - Proceedings of the 30th …, 2024 - dl.acm.org
Link prediction, determining if a relation exists between two entities, is an essential task in
the analysis of heterogeneous graphs with diverse entities and relations. Despite extensive …

SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery Behavior

Z Hong, H Wang, Y Ding, G Wang, T He… - Proceedings of the ACM …, 2024 - dl.acm.org
Accurate road networks play a crucial role in modern mobile applications such as navigation
and last-mile delivery. Most existing studies primarily focus on generating road networks in …

MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions

Q Yang, Z Xie, H Wei, D Zhang, Y Yang - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
Urban traffic is subject to disruptions that cause extended waiting time and safety issues at
signalized intersections. While numerous studies have addressed the issue of intelligent …

VeLP: Vehicle Loading Plan Learning from Human Behavior in Nationwide Logistics System

S Duan, F Lyu, X Zhu, Y Ding, H Wang… - Proceedings of the …, 2023 - dl.acm.org
For a nationwide logistics transportation system, it is critical to make the vehicle loading
plans (ie, given many packages, deciding vehicle types and numbers) at each sorting and …

CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning

S Wang, T Kong, B Guo, L Lin, H Wang - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
Human behavior prediction is an essential AI-based task, which has inspired many real-
world applications. In last-mile logistics, predicting couriers' behavior can benefit the …

DECO: Cooperative Order Dispatching for On-Demand Delivery with Real-Time Encounter Detection

Y Lu, S Wang, Y Yang, H Wang, B Guo… - Proceedings of the 33rd …, 2024 - dl.acm.org
In on-demand delivery, online orders are delivered by couriers from merchants to customers
within a short time (eg, 45 minutes). An important task is to provide an efficient order …

Behavior-Aware Hypergraph Convolutional Network for Illegal Parking Prediction with Multi-Source Contextual Information

G Yang, M Tu, Z Li, J Hang, T Liu, R Liu… - Proceedings of the 33rd …, 2024 - dl.acm.org
Illegal parking prediction is a crucial problem to help stakeholders with better urban
planning and management. Existing works advance the field by capturing complex traffic …

AutoBuild: Automatic Community Building Labeling for Last-mile Delivery

Z Hong, D Cao, H Wang, G Wang, T He… - Proceedings of the 32nd …, 2023 - dl.acm.org
Fine-grained community-building information, such as building names and accurate
geographical coordinates, is critical for a range of practical applications like navigation and …