Can Yang - RankMe

14 papers Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Lane extraction from trajectories at road intersections based on Graph Transformer Network. Int. J. Geogr. Inf. Sci. Chongshan Wan, Peng Yue, Can Yang, Chuanwei Cai, Xiaoxue Liu
2024	J	`jnl`	Detecting road network errors from trajectory data with partial map matching and bidirectional recurrent neural network model. Int. J. Geogr. Inf. Sci. Can Yang, Peng Yue, Jianya Gong, Jian Li, Kai Yan
2024	J	`jnl`	Generating lane-level road networks from high-precision trajectory data with lane-changing behavior analysis. Int. J. Geogr. Inf. Sci. Mengyue Yuan, Peng Yue, Can Yang, Jian Li, Kai Yan, Chuanwei Cai, Chongshan Wan
2024	J	`jnl`	Spatio-temporal intention learning for recommendation of next point-of-interest. Geo spatial Inf. Sci. Hao Li, Peng Yue, Shangcheng Li, Chenxiao Zhang, Can Yang
2023	—	`conf`	MGTIPM: A Multi-granularity Time Intention Prediction Model for Next Point-of-Interest Recommendation. Agro-Geoinformatics Junyi Wu, Hao Li, Can Yang, Jian Li, Kai Yan, Mingda Zhang, Ruixiang Liu
2023	J	`jnl`	Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services. Int. J. Geogr. Inf. Sci. Mingyue Xu, Peng Yue, Fan Yu, Can Yang, Mingda Zhang, Shangcheng Li, Hao Li
2022	—	`conf`	Multi-view Self-attention Network for Next POI Recommendation. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Hao Li, Peng Yue, Shangcheng Li, Fan Yu, Chenxiao Zhang, Can Yang, Liangcun Jiang
2022	J	`jnl`	Spatial-Temporal Diffusion Convolutional Network: A Novel Framework for Taxi Demand Forecasting. ISPRS Int. J. Geo Inf. Aling Luo, Boyi Shangguan, Can Yang, Fan Gao, Zhe Fang, Dayu Yu
2021	J	`jnl`	The Integration of Linguistic and Geospatial Features Using Global Context Embedding for Automated Text Geocoding. ISPRS Int. J. Geo Inf. Zheren Yan, Can Yang, Lei Hu, Jing Zhao, Liangcun Jiang, Jianya Gong
2020	J	`jnl`	Detecting regional dominant movement patterns in trajectory data with a convolutional neural network. Int. J. Geogr. Inf. Sci. Can Yang, Gyözö Gidófalvi
2020	—	`—`	Efficient Map Matching and Discovery of Frequent and Dominant Movement Patterns in GPS Trajectory Data. Can Yang
2018	J	`jnl`	Fast map matching, an algorithm integrating hidden Markov model with precomputation. Int. J. Geogr. Inf. Sci. Can Yang, Gyözö Gidófalvi
2018	J	`jnl`	Mining and visual exploration of closed contiguous sequential patterns in trajectories. Int. J. Geogr. Inf. Sci. Can Yang, Gyözö Gidófalvi
2015	—	`conf`	Scalable Detection of Traffic Congestion from Massive Floating Car Data Streams. UrbanGIS@SIGSPATIAL Gyözö Gidófalvi, Can Yang