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Zhezhang Ding
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2020 – today
- 2024
- [i3]Zhezhang Ding, Huijing Zhao:
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models. CoRR abs/2410.16083 (2024) - 2023
- [j3]Zhezhang Ding
, Huijing Zhao
Incorporating Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A Survey. IEEE Trans. Intell. Veh. 8(8): 3996-4015 (2023) - 2022
- [j2]Zhezhang Ding, Donghao Xu
Driver Identification Through Heterogeneity Modeling in Car-Following Sequences. IEEE Trans. Intell. Transp. Syst. 23(10): 17143-17156 (2022) - 2021
- [j1]Donghao Xu
Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving. IEEE Trans. Intell. Transp. Syst. 22(12): 7341-7354 (2021) - [c3]Zhezhang Ding, Ziyang Yao, Huijing Zhao:
RA-GAT: Repulsion and Attraction Graph Attention for Trajectory Prediction. ITSC 2021: 734-741 - 2020
- [i2]Donghao Xu, Zhezhang Ding, Chenfeng Tu, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard:
Driver Identification through Stochastic Multi-State Car-Following Modeling. CoRR abs/2005.11077 (2020) - [i1]Donghao Xu, Zhezhang Ding, Xu He, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard:
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving. CoRR abs/2005.11470 (2020)
2010 – 2019
- 2019
- [c2]Zhezhang Ding, Donghao Xu, Huijing Zhao, Mathieu Moze
Driver Identification through Multi-state Car Following Modeling. ITSC 2019: 1580-1587 - 2018
- [c1]Donghao Xu, Zhezhang Ding, Huijing Zhao, Mathieu Moze
Naturalistic Lane Change Analysis for Human-Like Trajectory Generation. Intelligent Vehicles Symposium 2018: 1393-1399
Coauthor Index
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