Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling

Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu

AAAI 2023PDFCode

Generic Dynamic Graph Convolutional Network for traffic flow forecasting

Yi Xu, Liangzhe Han, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv

Information FusionPDF

Sampling Spatial-Temporal Attention Network for Traffic Forecasting

Mao Chen, Yi Xu, Liangzhe Han, Leilei Sun

KSEM 2023PDF

Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism

Zhaohuan Wang, Yi Xu, Liangzhe Han, Tongyu Zhu, Leilei Sun

KSEM 2023PDF

Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction

Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong

KDD 2022PDFCode

Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction

Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun

IJCAI 2022PDFCode

Spatial Semantic Learning for Travel Time Estimation

Yi Xu, Leilei Sun, Bowen Du, Liangzhe Han

KSEM 2022PDF

Multi-Semantic Path Representation Learning for Travel Time Estimation

Liangzhe Han, Bowen Du, Jingjing Lin, Leilei Sun, Xucheng Li, Yizhou Peng

IEEE TITS

Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting

Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong

KDD 2021

Landslide susceptibility prediction based on image semantic segmentation

Bowen Du, Zirong Zhao, Xiao Hu, Guanghui Wu, Liangzhe Han, Leilei Sun, Qiang Gao

Deep spatio-temporal graph convolutional network for traffic accident prediction

Le Yu, Bowen Du, Xiao Hu, Leilei Sun, Liangzhe Han, Weifeng Lv