ST-Data

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

CIKM 2020, Applied Research Track

Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li

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

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

IEEE TKDE, 2020

Junkai Sun, Junbo Zhang#, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng

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

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics

Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics

Spatio-Temporal Meta Learning for Urban Traffic Prediction

Zheyi Pan*, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang#, Yu Zheng

Spatio-Temporal Meta Learning for Urban Traffic Prediction

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

Information Fusion

Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang

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

CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach

Qianru Wang*, Junbo Zhang#, Bin Guo, Zexia Hao, Yifang Zhou, Junkai Sun, Zhiwen Yu, Yu Zheng

CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach

Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction

CIKM 2019, Applied Research Track (acceptance rate: 21.8%)

Zheyi Pan*, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang#, Yu Zheng

Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction

CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach

CIKM 2019, Applied Research Track (acceptance rate: 21.8%)

Xiuwen Yi, Zhewen Duan, Ting Li, Junbo Zhang#, Tianrui Li, Yu Zheng

CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach

Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning

[ORAL] KDD 2019, Research Track (acceptance rate: 14.2%)

Zheyi Pan*, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang

Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning

UrbanFM: Inferring Fine-Grained Urban Flows

KDD 2019, ADS Track (acceptance rate: 20.7%)

Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng

UrbanFM: Inferring Fine-Grained Urban Flows