Zipei Fan(范子沛)
Scholar

Zipei Fan(范子沛)

Google Scholar ID: OMny2bEAAAAJ
Jilin University
data miningurban computingcomputer visionubiquitous computing
Citations & Impact
All-time
Citations
1,489
 
H-index
21
 
i10-index
39
 
Publications
20
 
Co-authors
1
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - “Big Data-Driven Citywide Human Mobility Modeling for Emergency Management”, Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, Springer, Cham, 109-130.
  • - “Human mobility based individual-level epidemic simulation platform”, SIGSPATIAL Special 12 (1), 34-40.
  • - “Trajectory fingerprint: one-shot human trajectory identification using Siamese network”, CCF Transactions on Pervasive Computing and Interaction 2 (2), 113-125.
  • - “Decentralized Attention-based Personalized Human Mobility Prediction”. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 4, Article 133 (December 2019).
  • - “Deep Multiple Instance Learning for Human Trajectory Identification”. In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ‘19).
  • - “Online Deep Ensemble Learning for Predicting Citywide Human Mobility”, Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (UbiComp 2018).
  • - “CityCoupling: bridging intercity human mobility”, Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016.
  • - “A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records”, Proc. of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.
  • - “CityMomentum: An Online Approach for Crowd Behavior Prediction at a Citywide Level”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2015. (Honorable Mention Awards)
  • - “CitySpectrum: A Non-negative Tensor Factorization Approach”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 5-14, 2014.
Research Experience
  • - Project assistant professor in Center for Spatial Information Science, the University of Tokyo
Education
  • - Graduated from Computer Science and Engineering, Beihang University in 2012
  • - Obtained the master's degree in Civil Engineering, the University of Tokyo in 2014
  • - Obtained the doctoral degree in Civil Engineering, the University of Tokyo in 2017
Background
  • Research interests include spatiotemporal data mining, urban computing, ubiquitous computing, and data visualization.