Brian Yueshuai He
Orcid: 0000-0002-5794-7751
According to our database1,
Brian Yueshuai He authored at least 17 papers
between 2017 and 2026.
Collaborative distances:
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Bibliography
2026
Deep Activity Model: A Generative Deep Learning Approach for Human Mobility Pattern Synthesis.
IEEE Trans. Intell. Transp. Syst., June, 2026
2025
Deploying Scalable Traffic Prediction Models for Efficient Management in Real-World Large Transportation Networks During Hurricane Evacuations.
IEEE Intell. Transp. Syst. Mag., 2025
Human Mobility Modeling with Household Coordination Activities Under Limited Information via Retrieval-Augmented LLMs.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
2024
IEEE Trans. Intell. Veh., January, 2024
Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection, 2024
Multi-Agent Multimodal Transportation Simulation for Mega-cities: Application of Los Angeles.
Proceedings of the 15th International Conference on Ambient Systems, 2024
2020
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19.
CoRR, 2020
A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City.
CoRR, 2020
Impact of COVID-19 Behavioral Inertia on Reopening Strategies for New York City Transit.
CoRR, 2020
2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017