Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. - Mingzhou Yang 001; Yanhua Li; Xun Zhou 001; Hui Lu 005; Zhihong Tian; Jun Luo 007 (WWW, 2020)

Revolutionizing electric vehicle management: spatial computing challenges and opportunities. - Hyeonjung (Tari) Jung; Mingzhou Yang 001; Matthew Eagon; William F. Northrop (IWCTS@SIGSPATIAL, 2022)

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. - Yan Li 049; Mingzhou Yang 001; Matthew Eagon; Majid Farhadloo; Yiqun Xie; William F. Northrop; Shashi Shekhar 001 (SDM, 2023)

Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles. - Mingzhou Yang 001; Bharat Jayaprakash; Matthew Eagon; Hyeonjung (Tari) Jung; William F. Northrop; Shashi Shekhar 001 (SDM, 2023)

Climate smart computing: A perspective. - Mingzhou Yang 001; Bharat Jayaprakash; Subhankar Ghosh; Hyeonjung Tari Jung; Matthew Eagon; William F. Northrop; Shashi Shekhar 001 (Pervasive Mob. Comput., 2025)

Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning. - Arun Sharma 006; Majid Farhadloo; Mingzhou Yang 001; Ruolei Zeng; Subhankar Ghosh; Shashi Shekhar 001 (CoRR, 2025)

Towards Physics-Guided Foundation Models. - Majid Farhadloo; Arun Sharma 006; Mingzhou Yang 001; Bharat Jayaprakash; William F. Northrop; Shashi Shekhar 001 (CoRR, 2025)

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories. - Arun Sharma 006; Mingzhou Yang 001; Majid Farhadloo; Subhankar Ghosh; Bharat Jayaprakash; Shashi Shekhar 001 (CoRR, 2025)