ST-Data

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph

WWW 2021

Fine-grained Urban Flow Prediction

WWW 2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

AAAI 2021

You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users

CIKM 2020, Applied Research Track

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

IEEE TKDE, 2020

AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction

[ORAL] KDD 2020, Research Track (acceptance rate: 16.8%)

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics

ECML-PKDD 2020

Spatio-Temporal Meta Learning for Urban Traffic Prediction

IEEE TKDE

Urban flow prediction from spatiotemporal data using machine learning: A survey

Information Fusion

CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach

UbiComp 2020