Xiaoyu Wang

Orcid: 0000-0003-1587-6307

Affiliations:
  • University of Torornto, Department of Civil and Mineral Engineering, Canada


According to our database1, Xiaoyu Wang authored at least 12 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization.
CoRR, May, 2026

2025
Getting Ready for Deployment: Transformer-Enabled Robust Adaptive Traffic Signal Control.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
eMARLIN+: Addressing Partial Observability to Promote Traffic Signal Coordination by Leveraging Historical Information.
IEEE Trans. Intell. Transp. Syst., December, 2024

Multi-hop Upstream Preemptive Traffic Signal Control with Deep Reinforcement Learning.
CoRR, 2024

Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers.
CoRR, 2024

Generalized Multi-hop Traffic Pressure for Heterogeneous Traffic Perimeter Control.
CoRR, 2024

2023
eMARLIN+: Overcoming Partial-Observability Caused by Sensor Limitations and Short Detection Ranges in Traffic Signal Control.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Perimeter Control Using Deep Reinforcement Learning: A Model-Free Approach Towards Homogeneous Flow Rate Optimization.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control.
CoRR, 2022

2021
Microscopic Model-Based RL Approaches for Traffic Signal Control Generalize Better than Model-Free RL Approaches.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021


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