Liangzhe Han

According to our database, Liangzhe Han authored at least 13 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generic Dynamic Graph Convolutional Network for traffic flow forecasting.

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

Inf. Fusion, December, 2023

Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing.

Ruixing Zhang, Liangzhe Han, Leilei Sun, Yunqi Liu, Jibin Wang, Weifeng Lv

CoRR, 2023

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

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

Proceedings of the Knowledge Science, Engineering and Management, 2023

Sampling Spatial-Temporal Attention Network for Traffic Forecasting.

Mao Chen, Yi Xu, Liangzhe Han, Leilei Sun

Proceedings of the Knowledge Science, Engineering and Management, 2023

Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-Semantic Path Representation Learning for Travel Time Estimation.

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

IEEE Trans. Intell. Transp. Syst., 2022

Zoom-Based AutoEncoder for Origin-Destination Demand Prediction.

Xiaojian Ma, Liangzhe Han, Gang Wang, Xu Liu, Tongyu Zhu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Spatial Semantic Learning for Travel Time Estimation.

Yi Xu, Leilei Sun, Bowen Du, Liangzhe Han

Proceedings of the Knowledge Science, Engineering and Management, 2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Deep spatio-temporal graph convolutional network for traffic accident prediction.

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

Neurocomputing, 2021

Landslide susceptibility prediction based on image semantic segmentation.

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

Comput. Geosci., 2021

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

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021