Publications

1. DeepMM: Deep Learning Based Map Matching with Data Augmentation*
   Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Lin Chen, Depeng Jin
   To appear in TMC 2020 (Extension of SIGSPATIAL 2019 Poster)
2. Learning to Simulate Human Mobility
   Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li
   KDD 2020 (AI for COVID-19, Oral paper) Codes PDF Link
3. Predicting Human Mobility with Semantic Motivation via Multi-task Attentional Recurrent Networks
   Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin
   TKDE 2020 (Journal version of DeepMove in WWW 2018) PDF Link
4. A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling
   Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li
   IJCAI 2020 (Full paper, Accept rate: 12.6%) PDF Link
5. User Identity Linkage via Co-Attentional Neural Network From Heterogeneous Mobility Data
   Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Han Cao, Depeng Jin
   TKDE 2020 (Journal version of DPLink in WWW 2019) PDF Link
6. PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning
   Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li
   IMWUT/UbiComp 2020 (Full paper) PDF Link
7. DeepMM: Deep Learning Based Map Matching with Data Augmentation
   Kai Zhao, Jie Feng, Zhao Xu, Tong Xia, Lin Chen, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li
   SIGSPATIAL 2019 (Poster paper) PDF Link
8. DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data
   Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin
   WWW 2019 (Full paper, Accept rate: 18%) Codes PDF Link
9. DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
   Ziqian Lin*, Jie Feng*, Ziyang Lu, Yong Li, Depeng Jin
   AAAI 2019 (Full paper, Accept rate: 16.2%) Codes PDF Link * Equal contribution
10. DeepDPM: Dynamic Population Mapping via Deep Neural Network
    Zefang Zong*, Jie Feng*, Kechun Liu, Hongzhi Shi, Yong Li
    AAAI 2019 (Full paper, Accept rate: 16.2%) PDF Link * Equal contribution
11. DeepMove: Predicting Human Mobility with Atentional Recurrent Networks
    Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin.
    WWW 2018 (Full paper, Accept rate: 14.8%) Codes PDF Link
12. DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction
    Jie Feng, Xinlei Chen, Rundong Gao, Ming Zeng, Yong Li
    IEEE Network, 2018, 32 (6), 108-115 PDF Link
13. A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data
    Jie Feng, Yong Li, Fengli Xu, Depeng Jin
    Sensors, 2018, 18 (10), 3431 PDF Link
14. Uniqueness in the City: Urban Morphology and Location Privacy
    Hancheng Cao, Jie Feng, Yong Li, Vassilis Kostakos
    Ubicomp 2018 PDF Link
15. Context-aware Real-time Population Estimation for Metropolis
    Fengli Xu, Jie Feng, Pengyu Zhang, Yong Li
    Ubicomp 2016 (Honorable mention award) PDF Link Project