Chengyuan Zhang
Chengyuan Zhang
Ph.D. Candidate, McGill University | Visiting Researcher, UC Berkeley, CMU
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Social interactions for autonomous driving: A review and perspectives
W Wang, L Wang, C Zhang, C Liu, L Sun
Foundations and Trends® in Robotics 10 (3-4), 198-376, 2022
Spatiotemporal learning of multivehicle interaction patterns in lane-change scenarios
C Zhang, J Zhu, W Wang, J Xi
IEEE Transactions on Intelligent Transportation Systems, 2021
Chaotic behavior and feedback control of magnetorheological suspension system with fractional-order derivative
C Zhang, J Xiao
Journal of Computational and Nonlinear Dynamics 13 (2), 021007, 2018
Bayesian calibration of the intelligent driver model
C Zhang, L Sun
IEEE Transactions on Intelligent Transportation Systems, 2024
Nonstationary temporal matrix factorization for multivariate time series forecasting
X Chen, C Zhang, XL Zhao, N Saunier, L Sun
arXiv preprint arXiv:2203.10651, 2022
An Efficient Parking Solution: A Cam-Linkage Double-Parallelogram Mechanism Based 1-Degrees of Freedom Stack Parking System
C Zhang, X Zhang, H Ye, M Wei, X Ning
Journal of Mechanisms and Robotics 11 (4), 045001, 2019
A general framework of learning multi-vehicle interaction patterns from video
C Zhang, J Zhu, W Wang, D Zhao
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4323-4328, 2019
Learning representations for multi-vehicle spatiotemporal interactions with semi-stochastic potential fields
W Wang, C Zhang, P Wang, CY Chan
2020 IEEE Intelligent Vehicles Symposium (IV), 1935-1940, 2020
Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression
X Chen, C Zhang, X Chen, N Saunier, L Sun
IEEE Transactions on Knowledge and Data Engineering, 2023
Interactive Car-Following: Matters but NOT Always
C Zhang, R Chen, J Zhu, W Wang, C Liu, L Sun
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
Calibrating car-following models via Bayesian dynamic regression
C Zhang, W Wang, L Sun
The 25th International Symposium on Transportation and Traffic Theory (ISTTT25), 2023
A Bayesian Gaussian Mixture Model for Probabilistic Modeling of Car-Following Behaviors
X Chen, C Zhang, Z Cheng, Y Hou, L Sun
IEEE Transactions on Intelligent Transportation Systems, 2023
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
C Zhang, K Chen, M Zhu, H Yang, L Sun
arXiv preprint arXiv:2404.16023, 2024
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