The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions. - Zhouqiao Zhao; Ziran Wang; Guoyuan Wu 001; Fei Ye; Matthew J. Barth (ITSC, 2019)

Optimal Control-Based Ramp Merging System for Connected and Automated Electric Vehicles. - Zhouqiao Zhao; Guoyuan Wu 001; Ziran Wang; Matthew J. Barth (CoRR, 2019)

Developing a Data-driven Modularized Model of a Plug-in Hybrid Electric Bus (PHEB) for Connected and Automated Vehicle Applications. - Zhouqiao Zhao; Zhensong Wei; Guoyuan Wu 001; Matthew J. Barth (ITSC, 2020)

Optimal Control-Based Eco-Ramp Merging System for Connected and Automated Vehicles. - Zhouqiao Zhao; Guoyuan Wu 001; Ziran Wang; Matthew J. Barth (IV, 2020)

Connected Vehicle-Based Advanced Detection of "Slow-Down" Events on Freeways. - Zhouqiao Zhao; Guoyuan Wu 001; Matthew J. Barth; Hossein Nourkhiz Mahjoub; Yasir Khudhair Al-Nadawi; Laith Daman; Shigenobu Saigusa (ITSC, 2021)

Online Prediction of Lane Change with a Hierarchical Learning-Based Approach. - Xishun Liao; Ziran Wang; Xuanpeng Zhao; Zhouqiao Zhao; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (ICRA, 2022)

Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning. - Zhouqiao Zhao; Ziran Wang; Kyungtae Han; Rohit Gupta; Prashant Tiwari; Guoyuan Wu 001; Matthew J. Barth (ICRA, 2022)

Real-time Adaptive Background Subtraction for Traffic Scenarios at Signalized Intersections Based on Roadside Fish-eye Cameras. - Jiahe Cao; Zhouqiao Zhao; Guoyuan Wu 001; Matthew J. Barth; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (ITSC, 2022)

Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control. - Zhouqiao Zhao; Xishun Liao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (ITSC, 2023)

End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras. - Zhouqiao Zhao; Zhensong Wei; Danyang Tian; Bryan Reimer; Pnina Gershon; Ehsan Moradi-Pari (IV, 2023)

Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. - Zhouqiao Zhao; Xishun Liao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (SMC, 2023)

A Connected Automation Enabled Cooperative Management Framework for Mixed Traffic - Zhouqiao Zhao (2023)

Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior. - Xishun Liao; Xuanpeng Zhao; Ziran Wang; Zhouqiao Zhao; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (IEEE Internet Things J., 2023)

A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation. - Xishun Liao; Zhouqiao Zhao; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Jiaqi Ma 003; Guoyuan Wu 001 (IEEE Trans. Intell. Veh., 2025)