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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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
Mobility AI Agents and Networks.
IEEE Trans. Intell. Veh., July, 2024

Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0.
IEEE Trans. Intell. Veh., January, 2024

Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning.
CoRR, 2024

Human Mobility Modeling with Limited Information via Large Language Models.
CoRR, 2024

Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis.
CoRR, 2024

A Two-Sided Model for EV Market Dynamics and Policy Implications.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Semantic Trajectory Data Mining with LLM-Informed POI Classification.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks.
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
A privacy design problem for sharing transport service tour data.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017


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