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ORCIDCan Yang 0001
Person information
- affiliation: KTH - Royal Institution of Technology, Division of Geoinformatics Sweden
Other persons with the same name
- Can Yang — disambiguation page
- Can Yang 0002
![[0000-0002-4407-3055]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4407-3055")
— Hong Kong University of Science and Technology, Department of Mathematics (and 2 more)
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2020 – today
- 2024
[j9]Mengyue Yuan, Peng Yue, Can Yang, Jian Li, Kai Yan, Chuanwei Cai, Chongshan Wan:
Generating lane-level road networks from high-precision trajectory data with lane-changing behavior analysis. Int. J. Geogr. Inf. Sci. 38(2): 243-273 (2024)- [j8]Can Yang, Peng Yue, Jianya Gong, Jian Li, Kai Yan:
Detecting road network errors from trajectory data with partial map matching and bidirectional recurrent neural network model. Int. J. Geogr. Inf. Sci. 38(3): 478-502 (2024) - [j7]Hao Li, Peng Yue, Shangcheng Li, Chenxiao Zhang, Can Yang:
Spatio-temporal intention learning for recommendation of next point-of-interest. Geo spatial Inf. Sci. 27(2): 384-397 (2024) - 2023
- [j6]Mingyue Xu, Peng Yue, Fan Yu, Can Yang, Mingda Zhang, Shangcheng Li, Hao Li:
Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services. Int. J. Geogr. Inf. Sci. 37(2): 380-402 (2023) - 2022
- [j5]Aling Luo, Boyi Shangguan, Can Yang, Fan Gao, Zhe Fang, Dayu Yu:
Spatial-Temporal Diffusion Convolutional Network: A Novel Framework for Taxi Demand Forecasting. ISPRS Int. J. Geo Inf. 11(3): 193 (2022) - [c2]Hao Li, Peng Yue, Shangcheng Li, Fan Yu, Chenxiao Zhang, Can Yang, Liangcun Jiang:
Multi-view Self-attention Network for Next POI Recommendation. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1825-1832 - 2021
- [j4]Zheren Yan, Can Yang, Lei Hu, Jing Zhao, Liangcun Jiang, Jianya Gong:
The Integration of Linguistic and Geospatial Features Using Global Context Embedding for Automated Text Geocoding. ISPRS Int. J. Geo Inf. 10(9): 572 (2021) - 2020
- [b1]Can Yang:
Efficient Map Matching and Discovery of Frequent and Dominant Movement Patterns in GPS Trajectory Data. Royal Institute of Technology, Stockholm, Sweden, 2020 - [j3]Can Yang, Gyözö Gidófalvi:
Detecting regional dominant movement patterns in trajectory data with a convolutional neural network. Int. J. Geogr. Inf. Sci. 34(5): 996-1021 (2020)
2010 – 2019
- 2018
- [j2]Can Yang, Gyözö Gidófalvi:
Fast map matching, an algorithm integrating hidden Markov model with precomputation. Int. J. Geogr. Inf. Sci. 32(3): 547-570 (2018) - [j1]Can Yang, Gyözö Gidófalvi:
Mining and visual exploration of closed contiguous sequential patterns in trajectories. Int. J. Geogr. Inf. Sci. 32(7): 1282-1304 (2018) - 2015
- [c1]Gyözö Gidófalvi, Can Yang:
Scalable Detection of Traffic Congestion from Massive Floating Car Data Streams. UrbanGIS@SIGSPATIAL 2015: 114-121
Coauthor Index
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