Yifan ZHANG
Scholar

Yifan ZHANG

Google Scholar ID: wid3eqEAAAAJ
City University of Hong Kong (Dongguan)
Car-following ModelTrajectory PredictionIntelligent Transportation SystemsAutonomous Driving
Citations & Impact
All-time
Citations
283
 
H-index
7
 
i10-index
7
 
Publications
15
 
Co-authors
11
list available
Publications
15 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • The paper 'ICSFuzz: Collision Detector Bug Discovery in Autonomous Driving Simulators' is accepted by IEEE Transactions on Dependable and Secure Computing.
  • The paper 'STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization' is accepted by NeurIPS 2025.
  • The paper 'Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach' is accepted by IEEE Transactions on Intelligent Transportation Systems.
  • Our model 'Parallel ModeSec' won the first place in 2025 WOD Challenges - Interaction Prediction Challenge!
  • The paper 'Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective' is accepted by ECML-PKDD 2025.
  • The paper 'MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks' is accepted by Transportation Research Part C: Emerging Technologies.
  • The paper 'CASAformer: Congestion-Aware Sparse Attention Transformer for Traffic Speed Prediction' is accepted by Communications in Transportation Research.
  • The paper 'A Time-varying Shockwave Speed Model for Trajectory Reconstruction using Lagrangian and Eulerian Observations' is accepted by Expert Systems With Applications.
  • The paper 'Empirical Study and Signal Intensity Prediction for Cellular Vehicle-to-Everything (C-V2X)' is presented at 2023 IEEE 98th Vehicular Technology Conference.
Research Experience
  • Before joining CityU-DG, was a Postdoc Research Fellow at the Institute for Transport Planning and Systems of ETH Zürich. Major research interests lie in autonomous driving, motion planning, car-following model, lane-change model, and intelligent transportation systems.
Education
  • PhD from City University of Hong Kong, supervised by Prof. Jianping Wang, graduated in Summer 2022; M.Eng. from ENSIIE, France, 2014-2017; B.Sc. from Xidian University, China, 2011-2015.
Background
  • Current research interests include spatial-temporal modelling, motion planning, trajectory prediction, car-following model, lane-change model, and intelligent transportation systems.
Miscellany
  • Constantly looking for self-motivated RAs to start and build our team together!