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Liangzhe Han
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2020 – today
- 2024
- [j9]Mao Chen
, Liangzhe Han, Yi Xu
Temporal-aware structure-semantic-coupled graph network for traffic forecasting. Inf. Fusion 107: 102339 (2024) - [j8]Jingwen Tian
MFGCN: Multi-faceted spatial and temporal specific graph convolutional network for traffic-flow forecasting. Knowl. Based Syst. 306: 112671 (2024) - [j7]Yi Xu
Continuous-Time and Discrete-Time Representation Learning for Origin-Destination Demand Prediction. IEEE Trans. Intell. Transp. Syst. 25(3): 2382-2393 (2024) - [j6]Tianxi Liao
Multi-Faceted Route Representation Learning for Travel Time Estimation. IEEE Trans. Intell. Transp. Syst. 25(9): 11782-11793 (2024) - [j5]Yi Xu
Bootstrapping on Continuous-Time Dynamic Graphs for Crowd Flow Modeling. IEEE Trans. Knowl. Data Eng. 36(10): 5039-5052 (2024) - 2023
- [j4]Yi Xu
Generic Dynamic Graph Convolutional Network for traffic flow forecasting. Inf. Fusion 100: 101946 (2023) - [c8]Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu:
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling. AAAI 2023: 4293-4301 - [c7]Zhaohuan Wang
Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism. KSEM (4) 2023: 112-123 - [c6]Mao Chen
Sampling Spatial-Temporal Attention Network for Traffic Forecasting. KSEM (2) 2023: 121-136 - [i3]Ruixing Zhang, Liangzhe Han, Leilei Sun, Yunqi Liu, Jibin Wang, Weifeng Lv:
Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing. CoRR abs/2311.10471 (2023) - 2022
- [j3]Liangzhe Han
Multi-Semantic Path Representation Learning for Travel Time Estimation. IEEE Trans. Intell. Transp. Syst. 23(8): 13108-13117 (2022) - [c5]Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun:
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction. IJCAI 2022: 2383-2389 - [c4]Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong:
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction. KDD 2022: 516-524 - [c3]Yi Xu
Spatial Semantic Learning for Travel Time Estimation. KSEM (3) 2022: 15-26 - [c2]Xiaojian Ma
Zoom-Based AutoEncoder for Origin-Destination Demand Prediction. PRICAI (1) 2022: 401-412 - [i2]Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun:
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction. CoRR abs/2205.14593 (2022) - [i1]Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong:
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction. CoRR abs/2206.15005 (2022) - 2021
- [j2]Bowen Du, Zirong Zhao, Xiao Hu, Guanghui Wu, Liangzhe Han, Leilei Sun
Landslide susceptibility prediction based on image semantic segmentation. Comput. Geosci. 155: 104860 (2021) - [j1]Le Yu
Deep spatio-temporal graph convolutional network for traffic accident prediction. Neurocomputing 423: 135-147 (2021) - [c1]Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong:
Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting. KDD 2021: 547-555
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