A selection of peer-reviewed papers and working papers. For the full list, please see my Google Scholar page.

Forward problem and inverse learning between a context-dependent network equilibrium model and multiday observed noisy link flows
Transportation Research Part B 2026
Large-scale inverse learning of user equilibrium via multiconvex optimization

Zhichen Liu, Yafeng Yin, Xi Lin, Zhen Wang, Transportation Research Part B: Methodological, 2026

Forward problem and its primal and dual inverse problem formulations
Working Paper 2025
Constructing transportation network equilibrium models from empirical data: An inverse learning perspective

Zhichen Liu, Yafeng Yin, SSRN Working Paper 5995274, 2025

End-to-End Learning of User Equilibrium
Transportation Science 2025
End-to-End Learning of User Equilibrium: Expressivity, Generalization, and Optimization

Zhichen Liu, Yafeng Yin, Transportation Science, 2025

PosterSSRN

End-to-end learning of user equilibrium with implicit neural networks
Transportation Research Part C 2023
End-to-end learning of user equilibrium with implicit neural networks

Zhichen Liu, Yafeng Yin, Fan Bai, Donald K Grimm, Transportation Research Part C: Emerging Technologies, 2023

PosterSSRN

Regulatory policies to electrify ridesourcing systems
Transportation Research Part C 2022
Regulatory policies to electrify ridesourcing systems

Zhichen Liu, Zhibin Chen, Yafeng Yin, Zhengtian Xu, Transportation Research Part C: Emerging Technologies, 2022

PosterTalks