Xiaotong Guo, Qingyi Wang, Jinhua Zhao. Data-driven Vehicle Rebalancing with Predictive Prescriptions in the Ride-hailing System. IEEE Open Journal of Intelligent Transportation Systems. 2022.

Shenhao Wang, Qingyi Wang, Nate Bailey, Jinhua Zhao. Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective. Transportation Research Part B. 2021.

Baichuan Mo, Wang QY, Joanna Moody, Yu Shen, Jinhua Zhao. Impacts of subjective evaluations and inertia from use of existing travel modes on adoption of autonomous mobility-on-demand. Transportation Research Part C. 2021.

Shenhao Wang, Qingyi Wang, Jinhua Zhao. Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation. Transportation Research Part C: Emerging Technologies. 2020.

Baichuan Mo, Wang QY, Yu Shen, Jinhua Zhao. Latent Attitudes of Existing Travel Modes on Autonomous Vehicle Adoption. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Shenhao Wang, Qingyi Wang, Jinhua Zhao. Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data. Journal of Choice Modelling. 2020.

Qingyi Wang, Haris Koutsopoulos, Nigel Wilson. Unexpected Bus Operator Absence and Extraboard Scheduling – MBTA Case Study. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.

Shenhao Wang, Qingyi Wang, Jinhua Zhao. Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective. Working Paper. 2019.