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Chengyuan Zhang
Chengyuan Zhang
Ph.D. Candidate, McGill University | Visiting Researcher, UC Berkeley, CMU
Bestätigte E-Mail-Adresse bei mail.mcgill.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1492022
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
482021
Bayesian calibration of the intelligent driver model
C Zhang, L Sun
IEEE Transactions on Intelligent Transportation Systems 25 (8), 9308-9320, 2024
322024
Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix Factorization
X Chen, C Zhang, XL Zhao, N Saunier, L Sun
Transportation Science, 2025
22*2025
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
202018
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
142023
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
112019
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
92019
Calibrating car-following models via Bayesian dynamic regression
C Zhang, W Wang, L Sun
(ISTTT25 Special Issue) Transportation Research Part C: Emerging …, 2024
72024
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 25 (6), 5880-5891, 2023
62023
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
62020
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
32023
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
C Zhang, K Chen, M Zhu, H Yang, L Sun
2024 IEEE Intelligent Vehicles Symposium (IV), 608-613, 2024
12024
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