Learning energy-efficient driving behaviors by imitating experts. - Abdul Rahman Kreidieh; Zhe Fu 003; Alexandre M. Bayen (ITSC, 2022)

Cooperative Driving for Speed Harmonization in Mixed-Traffic Environments. - Zhe Fu 003; Abdul Rahman Kreidieh; Han Wang 024; Jonathan W. Lee; Maria Laura Delle Monache; Alexandre M. Bayen (IV, 2023)

Towards Understanding Worldwide Cross-Cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap. - Yongqi Dong; Chang Liu 086; Yiyun Wang; Zhe Fu 003 (ITSC, 2024)

Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic. - Han Wang 024; Zhe Fu 003; Jonathan W. Lee; Hossein Nick Zinat Matin; Arwa Alanqary; Daniel Urieli; Sharon Hornstein; Abdul Rahman Kreidieh; Raphaël Chekroun; William Barbour; William A. Richardson; Dan Work; et al. (CoRR, 2024)

Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. - Jonathan W. Lee; Han Wang 024; Kathy Jang; Amaury Hayat; Matthew R. Bunting; Arwa Alanqary; William Barbour; Zhe Fu 003; Xiaoqian Gong; George Gunter; Sharon Hornstein; Abdul Rahman Kreidieh; et al. (CoRR, 2024)

Pareto Control Barrier Function for Inner Safe Set Maximization Under Input Constraints. - Xiaoyang Cao; Zhe Fu 003; Alexandre M. Bayen (ACC, 2025)

Position and speed estimation using deep learning-based KKL observer in mixed autonomy traffic systems. - Yasmine Marani; Zhe Fu 003; Ibrahima N'Doye; Eric Feron; Taous-Meriem Laleg-Kirati; Alexandre M. Bayen (CDC, 2025)

A Tutorial on Neural Network-Based Solvers for Hyperbolic Conservation Laws: Supervised vs. Unsupervised Learning, and Applications to Traffic Modeling. - Alexi Canesse; Zhe Fu 003; Nathan Lichtlé; Hossein Nick Zinat Matin; Zihe Liu; Maria Laura Delle Monache; Alexandre M. Bayen (NeuS, 2025)

Validation and Calibration of Energy Models with Real Vehicle Data from Chassis Dynamometer Experiments. - Joy Carpio; Sulaiman Almatrudi; Nour Khoudari; Zhe Fu 003; Kenneth Butts; Jonathan W. Lee; Benjamin Seibold; Alexandre M. Bayen (CoRR, 2025)

(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs. - Nathan Lichtlé; Alexi Canesse; Zhe Fu 003; Hossein Nick Zinat Matin; Maria Laura Delle Monache; Alexandre M. Bayen (CoRR, 2025)

Rising Women Scholars Shaping the Future of Intelligent Transportation Systems [Its PH.D.s]. - Ziran Wang; Youngseo Kim; Zhichen Liu; Zhe Fu 003 (IEEE Intell. Transp. Syst. Mag., 2026)

Supervised and Unsupervised Neural Network Solver for First Order Hyperbolic Nonlinear PDEs. - Zakaria Baba; Alexandre M. Bayen; Alexi Canesse; Maria Laura Delle Monache; Martin Drieux; Zhe Fu 003; Nathan Lichtlé; Zihe Liu; Hossein Nick Zinat Matin; Benedetto Piccoli (CoRR, 2026)

Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models. - Qing Lyu 010; Zhe Fu 003; Alexandre M. Bayen (CoRR, 2026)