The list is not frequently updated. You can also find more about my research on Google Scholar profile and ResearchGate profile.

Recent Representative Publication by Research Themes

Inverse problems in Transportation (Statistical modeling)

• Chen, Xiaoxu, Zhanhong Cheng, and Lijun Sun. “Bayesian Inference of Time-Varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services.” arXiv preprint arXiv:2403.04742 (2024).

Spatiotemporal modeling (Bayesian statistics)

• Lei, Mengying, Aurelie Labbe, and Lijun Sun. “Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data.” arXiv preprint arXiv:2208.09978 (2022).
• Lei, Mengying, Aurelie Labbe, Yuankai Wu, and Lijun Sun. “Bayesian kernelized matrix factorization for spatiotemporal traffic data imputation and kriging.” IEEE Transactions on Intelligent Transportation Systems 23, no. 10 (2022): 18962-18974.
• Lei, Mengying, Aurelie Labbe, and Lijun Sun. “Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression.” Bayesian Analysis (2023) arXiv preprint arXiv:2109.00046.
• Chen, Xinyu, and Lijun Sun. “Bayesian temporal factorization for multidimensional time series prediction.” IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 9 (2021): 4659-4673.
• Chen, Xinyu, Zhaocheng He, and Lijun Sun. “A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation.” Transportation research part C: emerging technologies 98 (2019): 73-84.
• Wu, Fan, Zhanhong Cheng, Huiyu Chen, Tony Z. Qiu, and Lijun Sun. “Traffic State Estimation with Anisotropic Gaussian Processes from Vehicle Trajectories.” arXiv preprint arXiv:2303.02311 (2023).

Spatiotemporal modeling (deep learning)

• Liang, Yuebing, Zhan Zhao, and Lijun Sun. “Memory-augmented dynamic graph convolution networks for traffic data imputation with diverse missing patterns.” Transportation Research Part C: Emerging Technologies 143 (2022): 103826.
• Wu, Yuankai, Dingyi Zhuang, Mengying Lei, Aurelie Labbe, and Lijun Sun. “Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging.” arXiv preprint arXiv:2109.12144 (2021).
• Wu, Yuankai, Dingyi Zhuang, Aurelie Labbe, and Lijun Sun. “Inductive graph neural networks for spatiotemporal kriging.” In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 5, pp. 4478-4485. 2021.
• Wu, Yuankai, Zhanhong Cheng, and Lijun Sun. “Individual Mobility Prediction via Attentive Marked Temporal Point Processes.” arXiv preprint arXiv:2109.02715 (2021).

Spatiotemporal modeling (low-rank models, tensor completion, DMD)

• Wang, Xudong, and Lijun Sun. “Anti-circulant dynamic mode decomposition with sparsity-promoting for highway traffic dynamics analysis.” arXiv preprint arXiv:2302.07108 (2023).
• Wang, Xudong, et al. “Low-rank Hankel tensor completion for traffic speed estimation.” IEEE Transactions on Intelligent Transportation Systems (2023).
• Chen, Xinyu, Zhanhong Cheng, Nicolas Saunier, and Lijun Sun. “Laplacian Convolutional Representation for Traffic Time Series Imputation.” arXiv preprint arXiv:2212.01529 (2022).
• Chen, Xinyu, Chengyuan Zhang, Xiaoxu Chen, Nicolas Saunier, and Lijun Sun. “Discovering Dynamic Patterns from Spatiotemporal Data with Time-Varying Low-Rank Autoregression.” arXiv preprint arXiv:2211.15482 (2022).
• Cheng, Zhanhong, Martin Trepanier, and Lijun Sun. “Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition.” Transportation science 56, no. 4 (2022): 904-918.
• Chen, Xinyu, Chengyuan Zhang, Xi-Le Zhao, Nicolas Saunier, and Lijun Sun. “Nonstationary temporal matrix factorization for multivariate time series forecasting.” arXiv preprint arXiv:2203.10651 (2022).
• Wang, Xudong, Luis Miranda-Moreno, and Lijun Sun. “Hankel-structured tensor robust PCA for multivariate traffic time series anomaly detection.” arXiv preprint arXiv:2110.04352 (2021).
• Chen, Xinyu, Mengying Lei, Nicolas Saunier, and Lijun Sun. “Low-rank autoregressive tensor completion for spatiotemporal traffic data imputation.” IEEE Transactions on Intelligent Transportation Systems 23, no. 8 (2021): 12301-12310.
• Chen, Xinyu, Jinming Yang, and Lijun Sun. “A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation.” Transportation Research Part C: Emerging Technologies 117 (2020): 102673.

New ideas in deep/statistical/probabilistic time series forecasing

• Zheng, Vincent Zhihao, and Lijun Sun. “Multivariate Probabilistic Time Series Forecasting with Correlated Errors.” arXiv preprint arXiv:2402.01000 (2024).
• Zheng, Vincent Zhihao, Seongjin Choi, and Lijun Sun. “Better Batch for Deep Probabilistic Time Series Forecasting.” arXiv preprint arXiv:2305.17028 (2023).
• Zheng, Vincent Zhihao, Seongjin Choi, and Lijun Sun. “Enhancing Deep Traffic Forecasting Models with Dynamic Regression.” arXiv preprint arXiv:2301.06650 (2023).
• Choi, Seongjin, Nicolas Saunier, Martin Trepanier, and Lijun Sun. “Spatiotemporal residual regularization with dynamic mixtures for traffic forecasting.” arXiv preprint arXiv:2212.06653 (2022).
• Liu, Fuqiang, Jiawei Wang, Jingbo Tian, Dingyi Zhuang, Luis Miranda-Moreno, and Lijun Sun. “A Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting.” IEEE Transactions on Intelligent Transportation Systems 23, no. 10 (2022): 19064-19075.
• Cheng, Zhanhong, Martin Trépanier, and Lijun Sun. “Incorporating travel behavior regularity into passenger flow forecasting.” Transportation Research Part C: Emerging Technologies 128 (2021): 103200.

Stohastic traffic simulation, driving behavior, and autonomous driving

• Zhang, Chengyuan, Wenshuo Wang, and Lijun Sun. “Calibrating car-following models via Bayesian dynamic regression.” Transportation Research Part C, ISTTT 25, and arXiv preprint arXiv:2307.03340 (2024).
• Zhang, Chaopeng, Wenshuo Wang, Zhaokun Chen, Jian Zhang, Lijun Sun, and Junqiang Xi. “Shareable driving style learning and analysis with a hierarchical latent model.” IEEE Transactions on Intelligent Transportation Systems (2024).
• Wang, Wenshuo, Letian Wang, Chengyuan Zhang, Changliu Liu, and Lijun Sun. “Social interactions for autonomous driving: A review and perspectives.” Foundations and Trends® in Robotics 10, no. 3-4 (2022): 198-376.
• Wang, Huanjie, Haibin Liu, Wenshuo Wang, and Lijun Sun. “On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction.” IEEE Transactions on Intelligent Transportation Systems, arXiv preprint arXiv:2210.08256 (2022).
• Zhang, Chengyuan, and Lijun Sun. “Bayesian Calibration of the Intelligent Driver Model.” IEEE Transactions on Intelligent Transportation Systems, arXiv preprint arXiv:2210.03571 (2022).
• Wang, Huanjie, Wenshuo Wang, Shihua Yuan, Xueyuan Li, and Lijun Sun. “On social interactions of merging behaviors at highway on-ramps in congested traffic.” IEEE Transactions on Intelligent Transportation Systems 23, no. 8 (2021): 11237-11248.

Bayesian optimization

• Lei, Mengying, and Lijun Sun. “Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization.” arXiv preprint arXiv:2302.14510 (2023). .

Reinforcement learning for traffic control (bus bunching)

• Wang, Jiawei, and Lijun Sun. “Robust Dynamic Bus Control: A Distributional Multi-Agent Reinforcement Learning Approach.” IEEE Transactions on Intelligent Transportation Systems (2022).
• Wang, Jiawei, and Lijun Sun. “Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning.” Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (2021).
• Wang, Jiawei, and Lijun Sun. “Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework.” Transportation Research Part C: Emerging Technologies 116 (2020): 102661.
• Wang, Jiawei, and Lijun Sun. “Multi-Objective Multi-Agent Deep Reinforcement Learning to Reduce Bus Bunching for Multiline Services with a Shared Corridor.” Available at SSRN 4305641.

Other statistical applications

• Chen, Xiaoxu, Zhanhong Cheng, Alexandra M. Schmidt, and Lijun Sun. “Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression.” arXiv preprint arXiv:2401.17387 (2024).
• Chen, Xiaoxu, Zhanhong Cheng, Jian Gang Jin, Martin Trepanier, and Lijun Sun. “Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model.” arXiv preprint arXiv:2206.06915 (2022).
• Zhu, Kangli, Zhanhong Cheng, Jianjun Wu, Fuya Yuan, and Lijun Sun. “Quantifying out-of-station waiting time in oversaturated urban metro systems.” Communications in Transportation Research 2 (2022): 100052.
• Cheng, Zhanhong, Xudong Wang, Xinyuan Chen, Martin Trépanier, and Lijun Sun. “Bayesian calibration of traffic flow fundamental diagrams using Gaussian processes.” IEEE Open Journal of Intelligent Transportation Systems 3 (2022): 763-771.