Kehua Chen
Kehua Chen

Postdoctoral Associate

University of Washington

About Me

Welcome to my homepage. I am currently a Postdoctoral Associate at University of Washington, and my collaborating supervisor is Prof. Yinhai Wang. I earned my PhD degree at The Hong Kong University of Science and Technology, supervised by Prof. Hai Yang. My research mainly focuses on Urban & Sustainable Computing, and Autonomous Driving. The methodologies cover Graph Neural Networks, Deep Generative Model, Bayesian Inference, Causal Inference, Reinforcement Learning, Game Theory, etc.

Interests
  • Autonomous Driving
  • Urban & Sustainable Computing
  • Deep Generative Model
Education

  • PhD in Intelligent Transportation

    The Hong Kong University of Science and Technology

  • MSc in Environmental Sciences

    University of Copenhagen & University of Chinese Academy of Sciences

  • BEng in Civil Engineering

    Chongqing University

📚Publications
  • Kehua Chen, Meixin Zhu*, Lijun Sun, Hai Yang. “Combining Time Dependency and Behavioral Game: A Deep Markov Cognitive Hierarchy Model for Human-Like Discretionary Lane Changing Modeling.” 25th International Symposium on Transportation and Traffic Theory (ISTTT25) & Transportation Research Part B: Methodological. (IF=8.00, JCR Q1) doi:10.1016/j.trb.2024.102980
  • Kehua Chen, Yuhao Luo, Meixin Zhu*, Hai Yang. “Human-Like Interactive Lane-Change Modeling Based on Reward-Guided Diffusive Predictor and Planner.” IEEE Transactions on Intelligent Transportation Systems. (IF=8.30, JCR Q1) doi:10.1109/TITS.2024.3520613
  • Kehua Chen, Yuxuan Liang, Jindong Han, Siyuan Feng*, Meixin Zhu*, Hai Yang. “Semantic-Fused Multi-Granularity Cross-City Traffic Prediction.” Transportation Research Part C: Emerging Technologies. (IF=10.10, JCR Q1) doi:10.1016/j.trc.2024.104604
  • 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) doi:10.1016/j.trc.2023.104325
  • 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) doi:10.1016/j.chemosphere.2021.130498
  • 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) doi:10.1016/j.jclepro.2020.124053
  • Kehua Chen, Guangbo Li, Hewen Li, Yuqi Wang, Wenzhe Wang, Hongcheng Wang*. “Quantifying Uncertainty: Air Quality Forecasting Based on Dynamic Spatial-Temporal Denoising Diffusion Probabilistic Model.” Environmental Research. (IF=8.20, JCR Q1) doi:10.1016/j.envres.2024.118438
  • Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu*, Hai Yang. “EquiDiff: A Conditional Equivariant Diffusion Model for Trajectory Prediction.” IEEE Conference on Intelligent Transportation Systems (ITSC) 2023. doi:10.1109/ITSC57777.2023.10421892
  • Chengyuan Zhang#, Kehua Chen# (Co-First Author), Meixin Zhu*, Hai Yang, Lijun Sun. “Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression.” IEEE Intelligent Vehicles Symposium (IV 2024). doi:10.1109/IV55156.2024.10588568
  • Xianda Chen, Kehua Chen, Meixin Zhu*, Shaojie Shen, Xuesong Wang, Yinhai Wang. “MetaFollower: Adaptable Personalized Autonomous Car Following.” Transportation Research Part C: Emerging Technologies. (IF=10.10, JCR Q1) doi:10.1016/j.trc.2024.104872
  • Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu*, Kehua Chen, Xuesong Wang, Yinhai Wang. “LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models.” Communications in Transportation Research. (IF=12.50, JCR Q1)
  • 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=10.80, JCR Q1) doi:10.1038/s41597-023-02718-7
  • 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) doi:10.1109/TIV.2023.3332885
  • Hui Zhong, Kehua Chen, Meixin Zhu*, Chenxi Liu, Ruimin Ke. “Models for Predicting Vehicle Emissions: A Comprehensive Review.” Science of the Total Environment. (IF=9.80, JCR Q1) doi:10.1016/j.scitotenv.2024.171324
  • 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) doi:10.1016/j.cej.2019.122643
  • Yuhao Luo, Kehua Chen, Meixin Zhu*. “GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction.” IEEE Intelligent Vehicles Symposium (IV 2024). doi:10.1109/IV55156.2024.10588741