Urban-scale poi updating with crowd intelligence
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 …
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
Node ranking in heterogeneous graphs, which quantifies the relative importance of nodes,
can often be improved by incorporating information from relevant paths. Graph database …
can often be improved by incorporating information from relevant paths. Graph database …
Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs
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 …
the analysis of heterogeneous graphs with diverse entities and relations. Despite extensive …
SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery Behavior
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 …
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
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 …
signalized intersections. While numerous studies have addressed the issue of intelligent …
VeLP: Vehicle Loading Plan Learning from Human Behavior in Nationwide Logistics System
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 …
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
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 …
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
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 …
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
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 …
planning and management. Existing works advance the field by capturing complex traffic …
AutoBuild: Automatic Community Building Labeling for Last-mile Delivery
Fine-grained community-building information, such as building names and accurate
geographical coordinates, is critical for a range of practical applications like navigation and …
geographical coordinates, is critical for a range of practical applications like navigation and …