Naturalistic Lane Change Analysis for Human-Like Trajectory Generation. - Donghao Xu; Zhezhang Ding; Huijing Zhao; Mathieu Moze; François Aioun; Franck Guillemard (Intelligent Vehicles Symposium, 2018)

Driver Identification through Multi-state Car Following Modeling. - Zhezhang Ding; Donghao Xu; Huijing Zhao; Mathieu Moze; François Aioun; Franck Guillemard (ITSC, 2019)

Driver Identification through Stochastic Multi-State Car-Following Modeling. - Donghao Xu; Zhezhang Ding; Chenfeng Tu; Huijing Zhao; Mathieu Moze; François Aioun; Franck Guillemard (CoRR, 2020)

RA-GAT: Repulsion and Attraction Graph Attention for Trajectory Prediction. - Zhezhang Ding; Ziyang Yao; Huijing Zhao (ITSC, 2021)

Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving. - Donghao Xu; Zhezhang Ding; Xu He; Huijing Zhao; Mathieu Moze; François Aioun; Franck Guillemard (IEEE Trans. Intell. Transp. Syst., 2021)

Driver Identification Through Heterogeneity Modeling in Car-Following Sequences. - Zhezhang Ding; Donghao Xu; Chenfeng Tu; Huijing Zhao; Mathieu Moze; François Aioun; Franck Guillemard (IEEE Trans. Intell. Transp. Syst., 2022)

Incorporating Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A Survey. - Zhezhang Ding; Huijing Zhao (IEEE Trans. Intell. Veh., 2023)

Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models. - Zhezhang Ding; Huijing Zhao (CoRR, 2024)