Chengyuan Zhang

Orcid: 0000-0001-8463-7380

Affiliations:

McGill University, Department of Civil Engineering, Montreal, QC, Canada
University of California, Berkeley, CA, USA
Chongqing University, Department of automotive engineering, China (former)

According to our database¹, Chengyuan Zhang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Bayesian Calibration of the Intelligent Driver Model.

[BibT_eX]

[DOI]

Chengyuan Zhang

Lijun Sun

IEEE Trans. Intell. Transp. Syst., August, 2024

A Bayesian Gaussian Mixture Model for Probabilistic Modeling of Car-Following Behaviors.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., June, 2024

Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2024

Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Interactive Car-Following: Matters but NOT Always.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Social Interactions for Autonomous Driving: A Review and Perspectives.

[BibT_eX]

[DOI]

Found. Trends Robotics, 2022

Social Interactions for Autonomous Driving: A Review and Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Nonstationary Temporal Matrix Factorization for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

2020

Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos.

[BibT_eX]

[DOI]

CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Video.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Chengyuan Zhang

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