I am a final-year Ph.D. candidate in the Electronic Engineering Department of Tsinghua University, advised by Prof. Yong Li. My research interests include data mining, smart city, and deep learning applications. I have published several papers for mobility trajectory modeling, time series prediction, user identity linkage, and population data enhancement. Now, I am interested in urban knowledge modeling and user behavior simulation.

Education

• Ph.D. Student, Aug. 2016 - July. 2021 (expected).
  Tsinghua University, Dept. of Electronic Engineering, Beijing, China
  Advisor: Prof. Yong Li

• Bachelor, Sept. 2012 - July. 2016.
  Tsinghua University, Dept. of Electronic Engineering, Beijing, China

Paper with Codes

1. Learning to Simulate Human Mobility
   Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li
   KDD 2020 (AI for COVID-19) Codes PDF

2. 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 Codes PDF

3. 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 Codes PDF * Equal contribution

4. DeepMove: Predicting Human Mobility with Atentional Recurrent Networks
   Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin.
   WWW 2018 Codes PDF