Publications

This selected publication list is not frequently updated. Please see my Google Scholar for recent updates. (* Corresponding Author, = Equal Contributions.)

Topics: 📕: Traffic Flow Theory & Traffic Simulations; 📘: Multi-Agent Social Interactions & Driver World Model; 📗: Spatiotemporal Data Modeling & Interpretable Pattern Discovery; 📙: Bayesian Learning;

Preprints

• Menglin Kong, Chengyuan Zhang*, Lijun Sun (2026). “Active Simulation-Based Inference for Scalable Car-Following Model Calibration”. (under review). 📕📙
• Chengyuan Zhang, Cathy Wu, and Lijun Sun* (2025). “Markov Regime-Switching Intelligent Driver Model for Interpretable Car-Following Behavior”. (under review). [poster] 📕📘📗📙

Journal publications

• Chengyuan Zhang, Zhengbing He, Cathy Wu, and Lijun Sun* (2025). “When Context Is Not Enough: Modeling Unexplained Variability in Car-Following Behavior” (Accepted at ISTTT26). [poster] 📕📘
• Xinyu Chen, Chengyuan Zhang, Xi-Le Zhao, Nicolas Saunier*, and Lijun Sun (2025). “Forecasting sparse movement speed of urban road networks with nonstationary temporal matrix factorization.” Transportation Science. [code] [blog I] [blog II] [slides] 📗
• Chengyuan Zhang, Wenshuo Wang, and Lijun Sun* (2024). “Calibrating Car-Following Models via Bayesian Dynamic Regression”. Transportation research part C: emerging technologies. [code] [presentation] [slides] ISTTT25 Oral Presentation; 2024 Clifford Spiegelman Student Paper Competition Honorable Mention Award; 📕📙
• Chengyuan Zhang and Lijun Sun* (2023). “Bayesian Calibration of the Intelligent Driver Model”. IEEE Transactions on Intelligent Transportation Systems. [code] [presentation] [poster] 📕📙
• Xiaoxu Chen, Chengyuan Zhang, Zhanhong Cheng, Yuang Hou, and Lijun Sun* ( 2023). “A Bayesian Gaussian Mixture Model for Probabilistic Modeling of Car-Following Behaviors”. IEEE Transactions on Intelligent Transportation Systems. 📕📗📙
• Xinyu Chen (=), Chengyuan Zhang (=), Xiaoxu Chen, Nicolas Saunier, and Lijun Sun* (2023). “Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression”. IEEE Transactions on Knowledge and Data Engineering. [data & code] [blog] 📗
• Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang*, and Junqiang Xi (2021). “Spatiotemporal learning of multivehicle interaction patterns in lane-change scenarios”. IEEE Transactions on Intelligent Transportation Systems. [code] [demo] [project website] 📘📗📙
• Chengyuan Zhang, Xiaomin Zhang, Hongyun Ye, Ming Wei, and Xianxiong Ning* ( 2019).” An efficient parking solution: a cam-linkage double-parallelogram mechanism based 1-degrees of freedom stack parking system”. Journal of Mechanisms and Robotics, 11(4). [demo] First Prize in 2018 National College Mechanical Innovation Competition (TOP #10 in China)
• Chengyuan Zhang and Jian Xiao* (2018). “Chaotic behavior and feedback control of magnetorheological suspension system with fractional-order derivative”. Journal of Computational and Nonlinear Dynamics, 13(2). My first paper (completed in my sophomore year)

Conference publications

• Menglin Kong, Chengyuan Zhang, Lijun Sun* (2026). “Online Calibration of Context-Driven Car-Following Models” (Accepted at IEEE IV26’). 📕📙
• Cameron Hickert, Athena Wang, Maryam Samaei, Chengyuan Zhang, Lijun Sun, Yanbing Wang, Mostafa Ameli, Cathy Wu* (2026). “AutoTune: A Unified Benchmark for Highway Traffic Microsimulation Calibration” (Accepted at IEEE IV26’). 📕
• Chengyuan Zhang (=), Kehua Chen (=), Meixin Zhu*, Hai Yang, and Lijun Sun (2024, May). “Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression”. In 2024 IEEE Intelligent Vehicles Symposium (IV). IEEE. 📕📗📙
• Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, and Lijun Sun* (2023, September). “Interactive Car-Following: Matters but NOT Always”. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 5120-5125). IEEE. 📘📙
• Wenshuo Wang, Chengyuan Zhang, Pin Wang, and Ching-Yao Chan* (2020, October). “Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields”. In 2020 IEEE Intelligent Vehicles Symposium (IV) (pp. 1935-1940). IEEE. 📘
• Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, and Ding Zhao* (2019, October). “A general framework of learning multi-vehicle interaction patterns from video”. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 4323-4328). IEEE. [project website] 📘📗📙

Books

• Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, and Lijun Sun (2022). “Social interactions for autonomous driving: A review and perspectives”. Foundations and Trends® in Robotics, 10(3-4), 198-376. [arXiv] [project website] 📘
• 陈新宇，金杰灵，廖琼华，张程远 ，陈晓旭. “LaTeX论文写作教程 (Academic Writing with LaTeX)”. 清华大学出版社，2023. [清华大学出版社京东自营官方旗舰店]

Patents

• Chengyuan Zhang, Xiaomin Zhang, Hongyun Ye, Jinming Shi, Manzhi Wang, and Xianxiong Ning. Cam-connecting rod type mechanical three-dimensional parking device. CN108222589B, China, 2018