Shengyue Yao

According to our database1, Shengyue Yao authored at least 12 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Evolutionary City: Towards a Flexible, Agile and Symbiotic System.
CoRR, 2023

IR Design for Application-Specific Natural Language: A Case Study on Traffic Data.
CoRR, 2023

Pursuing Equilibrium of Medical Resources via Data Empowerment in Parallel Healthcare System.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

SWDPM: A Social Welfare-Optimized Data Pricing Mechanism.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Boosting Intelligent Diagnostic Process in Internet Hospital: A Conversational-AI-Enhanced Framework.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

RoW-based Parallel Control for Mixed Traffic Scenario: A Case Study on Lane-Changing.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

DeMaaS: Efficient Service Distribution for MaaS via Decentralized Collaboration and Optimization.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

TransWorldNG: Traffic Simulation via Foundation Model.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2020
Real-Time Fine-Grained Freeway Traffic State Estimation Under Sparse Observation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
Managing connected and automated vehicles in mixed traffic by human-leading platooning strategy: a simulation study.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


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