ConTIG: Continuous representation learning on temporal interaction graphs

FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning

Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection

A graph multi-attention network for predicting airport delays

A Robust Detection and Correction Framework for GNN-Based Vertical Federated Learning

Urban Region Representation Learning with Attentive Fusion

FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability

FLGO: A Fully Customizable Federated Learning Platform

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

Spatio-temporal correlation mining method for large-scale traffic networks

Fed4ReID: Federated Learning with Data Augmentation for Person Re-identification Service in Edge Computing

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting

FEDGS: Federated Graph-based Sampling with Arbitrary Client Availability

Fedave: Adaptive Data Value Evaluation Framework for Collaborative Fairness in Federated Learning

Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation

Two-Stage Clustering for Federated Learning with Pseudo Mini-batch SGD Training on Non-IID Data

2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds

PANDA: predicting road risks after natural disasters leveraging heterogeneous urban data

FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds

iTA: Inferring Traffic Accident Hotspots with Vehicle Trajectories and Road Environment Data

Predicting the spread of COVID-19 in China with human mobility data

iTV: Inferring Traffic Violation-Prone Locations With Vehicle Trajectories and Road Environment Data

STPC-Net: Learn Massive Geo-Sensory Data as Spatio-Temporal Point Clouds

UVLens: Urban Village Boundary Identification and Population Estimation Leveraging Open Government Data

Tracklet Proposal Network for Multi-Object Tracking on Point Clouds

Federated Learning with Fair Averaging

Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data

DeepSTD: Mining Spatio-Temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction

Urban traffic flow prediction algorithm based on graph convolutional neural networks

GMAN: A graph multi-attention network for traffic prediction

Recovery of urban 3D road boundary via multi-source data

Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor

Sensing Urban Structures and Crowd Dynamics with Mobility Big Data

Predicting ICU mortality from heterogeneous clinical events with prior medical knowledge

SDCAE: Stack Denoising Convolutional Autoencoder Model for Accident Risk Prediction Via Traffic Big Data

DeepDiagnosis: DNN-Based Diagnosis Prediction from Pediatric Big Healthcare Data

A Deep Learning Approach for Next Location Prediction

CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-Domain Urban Big Data

Prediction of lymphocytosis using machine learning algorithm based on checkup data

Predicting ICU mortality by supervised bidirectional LSTM networks

CASR-TSE: Context-Aware Web Services Recommendation for Modeling Weighted Temporal-Spatial Effectiveness

RADAR: Road Obstacle Identification for Disaster Response Leveraging Cross-Domain Urban Data

Unlicensed Taxis Detection Service Based on Large-Scale Vehicles Mobility Data

Context-aware big data analytics and visualization for city-wide traffic accidents

Context-Aware Ubiquitous Web Services Recommendation Based on User Location Update