Urban Flow

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Xiyue Zhang, Chao Huang*, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

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

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

Predicting flows (e.g. the traffic of vehicles, crowds and bikes), consisting of the in-out traffic at a node and transitions between …

Junbo Zhang#, Yu Zheng, Junkai Sun*, Dekang Qi

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

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

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

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

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

ACL 2019 (acceptance rate: 25.7%)

Huaishao Luo*, Tianrui Li, Bing Liu, Junbo Zhang

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks

Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi*, Tianrui Li

Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks