Publications

Spatio-Temporal Data Mining in Transportation

  • Kehua Chen, Jindong Han, Siyuan Feng, Meixin Zhu, Hai Yang. “Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling.” Transportation Research Part C: Emerging Technologies. (IF=10.10, JCR Q1).

Driver Behavior Modeling

  • Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang. “EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction.” IEEE ITSC 2023.
  • Xianda Chen, Meixin Zhu, Kehua Chen, Pengqin Wang, Hongliang Lu, Hui Zhong, Xu Han. “FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling.” Scientific Data. (IF=10.8, JCR Q1)
  • Zihan Yu, Meixin Zhu, Kehua Chen, Xiaowen Chu, Xuesong Wang. “LF-Net: A Learning-based Frenet Planning Approach for Urban Autonomous Driving.” IEEE Transactions on Intelligent Vehicles. (IF=8.40, JCR Q1)

Sustainable Computing

  • Kehua Chen, Hongcheng Wang, Borja Valverde Perezc, Siyuan Zhai, Luca Vezzaroc, Aijie Wang. “Optimal control towards sustainable wastewater treatment plants based on deep reinforcement learning.” Chemosphere. (IF=8.80, JCR Q1, 8/132)
  • Kehua Chen, Hongcheng Wang , Jinglong Han, Wenzong Liu, Haoyi Cheng, Bin Liang, Aijie Wang. “The application of footprints for assessing the sustainability of wastewater treatment plants: a review.” Journal of Cleaner Production. (IF=11.10, JCR Q1, 4/210)
  • Edward O’Dwyer, Kehua Chen, Hongcheng Wang, Aijie Wang, Nilay Shah, Miao Guo. “Optimisation of wastewater treatment strategies in eco-industrial parks: Technology, location and transport.” Chemical Engineering Journal. (IF=15.10, JCR Q1, 2/340)