Mingzhou Yang

According to our database, Mingzhou Yang authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Fine-Tuning-Based Site Calibration for Knowledge-Guided Machine Learning: A Summary of Results.

Ruolei Zeng, Arun Sharma, Shuai An, Mingzhou Yang, Shengya Zhang, Licheng Liu, David J. Mulla, Shashi Shekhar

CoRR, December, 2025

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories.

Arun Sharma, Mingzhou Yang, Majid Farhadloo, Subhankar Ghosh, Bharat Jayaprakash, Shashi Shekhar

CoRR, June, 2025

Towards Physics-Guided Foundation Models.

Majid Farhadloo, Arun Sharma, Mingzhou Yang, Bharat Jayaprakash, William F. Northrop, Shashi Shekhar

CoRR, February, 2025

Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning.

Arun Sharma, Majid Farhadloo, Mingzhou Yang, Ruolei Zeng, Subhankar Ghosh, Shashi Shekhar

CoRR, February, 2025

Climate smart computing: A perspective.

Mingzhou Yang, Bharat Jayaprakash, Subhankar Ghosh, Hyeonjung Tari Jung, Matthew Eagon, William F. Northrop, Shashi Shekhar

Pervasive Mob. Comput., 2025

Geo-lucid Conditional Diffusion Models for High Physical Fidelity Trajectory Generation.

Mingzhou Yang, Arun Sharma, Majid Farhadloo, Bharat Jayaprakash, Shashi Shekhar

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Towards Surrogate Models with Hybrid Spatial Neural Networks: A Summary of Results.

Shengya Zhang, Arun Sharma, Majid Farhadloo, Mingzhou Yang, Ruolei Zeng, Subhankar Ghosh, Yao Zhang, Mu Hong, Licheng Liu, David J. Mulla, Shashi Shekhar

Proceedings of the 8th ACM SIGSPATIAL International Workshop on Geospatial Simulation, 2025

Towards Physics-guided Generative Foundation Models.

Majid Farhadloo, Arun Sharma, Mingzhou Yang, Bharat Jayaprakash, William F. Northrop, Shashi Shekhar

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Generative and Agentic AI for Multi-Modality Space-Time Intelligence, 2025

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories: A Summary of Results.

Arun Sharma, Mingzhou Yang, Majid Farhadloo, Subhankar Ghosh, Bharat Jayaprakash, Shashi Shekhar

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection, 2025

2023

Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles.

Mingzhou Yang, Bharat Jayaprakash, Matthew Eagon, Hyeonjung (Tari) Jung, William F. Northrop, Shashi Shekhar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.

Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Revolutionizing electric vehicle management: spatial computing challenges and opportunities.

Hyeonjung (Tari) Jung, Mingzhou Yang, Matthew Eagon, William F. Northrop

Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2022

2020

Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning.

Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020