Profile

地理信息系统专业博士，毕业于瑞典皇家工学院。

研究方向：时空数据挖掘、地理人工智能。

现为遥感信息工程学院博士后，合作导师为龚健雅院士与乐鹏教授。

谷歌学术主页：https://scholar.google.com/citations?user=DHFey3cAAAAJ

Github主页：https://github.com/cyang-kth

代表性论文

• Yang C, Yue P, Gong J, et al. Detecting road network errors from trajectory data with partial map matching and bidirectional recurrent neural network model[J]. International Journal of Geographical Information Science, 2024, 38(3): 478-502.

• Yuan M, Yue P, Yang C, et al. Generating lane-level road networks from high-precision trajectory data with lane-changing behavior analysis[J]. International Journal of Geographical Information Science, 2024, 38(2): 243-273.
  

• Xu M, Yue P, Yu F, Yang C, et al. Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services[J]. International Journal of Geographical Information Science, 2023, 37(2): 380-402.

• Yan Z, Yang C, Hu L, et al. The integration of linguistic and geospatial features using global context embedding for automated text geocoding[J]. ISPRS International Journal of Geo-Information, 2021, 10(9): 572.

• Luo A, Shangguan B, Yang C, et al. Spatial-temporal diffusion convolutional network: A novel framework for taxi demand forecasting[J]. ISPRS International Journal of Geo-Information, 2022, 11(3): 193.

• Yang C, Gidófalvi G. Detecting regional dominant movement patterns in trajectory data with a convolutional neural network[J]. International Journal of Geographical Information Science, 2020, 34(5): 996-1021.

• Yang C, Gidofalvi G. Fast map matching, an algorithm integrating hidden Markov model with precomputation[J]. International Journal of Geographical Information Science, 2018, 32(3): 547-570.

• Yang C, Gidófalvi G. Mining and visual exploration of closed contiguous sequential patterns in trajectories[J]. International Journal of Geographical Information Science, 2018, 32(7): 1282-1304.

Educational Experience

• [1]

  瑞典皇家工学院  | 测地与地理信息系统  | 博士 | 博士

• [2]

  瑞典皇家工学院  | 交通与地理信息系统  | 硕士 | With Certificate of Graduation for Study as Master's Candidates