Scientific Articles

1.  2016

• STRNN: Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

  @inproceedings{liu2016predicting,
    title={Predicting the next location: A recurrent model with spatial and temporal contexts},
    author={Liu, Qiang and Wu, Shu and Wang, Liang and Tan, Tieniu},
    booktitle={Proceedings of the AAAI conference on artificial intelligence},
    volume={30},
    number={1},
    year={2016}
  }
  

2.  2017

• TULER: Identifying Human Mobility via Trajectory Embeddings

  @inproceedings{gao2017identifying,
    title={Identifying Human Mobility via Trajectory Embeddings.},
    author={Gao, Qiang and Zhou, Fan and Zhang, Kunpeng and Trajcevski, Goce and Luo, Xucheng and Zhang, Fengli},
    booktitle={IJCAI},
    volume={17},
    pages={1689--1695},
    year={2017}
  }
  

3.  2018

• t2vec: Deep representation learning for trajectory similarity computation

  @inproceedings{li2018deep,
    title={Deep representation learning for trajectory similarity computation},
    author={Li, Xiucheng and Zhao, Kaiqi and Cong, Gao and Jensen, Christian S and Wei, Wei},
    booktitle={2018 IEEE 34th international conference on data engineering (ICDE)},
    pages={617--628},
    year={2018},
    organization={IEEE}
  }
  

• HST-LSTM: HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction

  @inproceedings{kong2018hst,
    title={HST-LSTM: A hierarchical spatial-temporal long-short term memory network for location prediction.},
    author={Kong, Dejiang and Wu, Fei},
    booktitle={Ijcai},
    volume={18},
    number={7},
    pages={2341--2347},
    year={2018}
  }
  

4.  2020

• GMVSAE: Online anomalous trajectory detection with deep generative sequence modeling

  @inproceedings{liu2020online,
    title={Online anomalous trajectory detection with deep generative sequence modeling},
    author={Liu, Yiding and Zhao, Kaiqi and Cong, Gao and Bao, Zhifeng},
    booktitle={2020 IEEE 36th International Conference on Data Engineering (ICDE)},
    pages={949--960},
    year={2020},
    organization={IEEE}
  }
  

• HIER: Enabling Finer Grained Place Embeddings using Spatial Hierarchy from Human Mobility Trajectories, arxiv full paper

  @inproceedings{shimizu2020enabling,
    title={Enabling finer grained place embeddings using spatial hierarchy from human mobility trajectories},
    author={Shimizu, Toru and Yabe, Takahiro and Tsubouchi, Kota},
    booktitle={Proceedings of the 28th International Conference on Advances in Geographic Information Systems},
    pages={187--190},
    year={2020}
  }
  

5.  2021

• CTLE: Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction

  @inproceedings{lin2021pre,
    title={Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction},
    author={Lin, Yan and Wan, Huaiyu and Guo, Shengnan and Lin, Youfang},
    booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
    volume={35},
    number={5},
    pages={4241--4248},
    year={2021}
  }