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Auteur: Lijun Sun
Type de publications: Articles publiés (RAC)
Année de début: 2021
Année de fin:
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Tri à l'intérieur de chaque année: Ordre alphabétique
Articles publiés (RAC)
Chen Xiaoxu, Cheng Zhanhong, Schmidt Alexandra M., Sun Lijun, Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression, Transportation Research B: Methodological, Vol. 192, 103147, 2025
Chen Xiaoxu, Saidi Saeid, Sun Lijun, Understanding bus delay patterns under different temporal and weather conditions: A Bayesian Gaussian mixture model, Transportation Research Part C: Emerging Technologies, Vol. 171, 105000, 2025
Cheng Z., Wang J., Trépanier Martin, Sun Lijun, Abnormal metro passenger demand is predictable from alighting and boarding correlation, Transportation Research Part C, vol. 178, 105239, 2025
Choi Seongjin, Saunier Nicolas, Zheng Vincent Zhihao, Trépanier Martin, Sun Lijun, Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting, Transportation Science, 2025
Wang Jiawei, Cai Haiming, Sun Lijun, Li Binliang, MERCI: Multi-agent reinforcement learning for enhancing on-demand Electric taxi operation in terms of Rebalancing, Charging, and Informing Orders, Computers & Industrial Engineering, Vol. 200, 110711, 2025
Xie Jiarui, Sun Lijun, Zhao Yaoyao Fiona, On the Data Quality and Imbalance in Machine Learning-based Design and Manufacturing—A Systematic Review, Engineering, Vol. 45, pp. 105-131, 2025
Chang Annie Y. J., Wang Xudong, Sharafi Mojdeh, Miranda-Moreno Luis F., Sun Lijun, Headwind or tailwind? The evolution of bike-sharing and ride-hailing demand during the COVID-19 pandemic, Journal of Transport Geography, Vol. 118, 103944, 2024
Chen Kehua, Zhu Meixin, Sun Lijun, Yang Hai, Combining time dependency and behavioral game: A Deep Markov Cognitive Hierarchy Model for human-like discretionary lane changing modeling, Transportation Research B: Methodological, Vol. 189, 102980, 2024
Chen Xiaoxu, Cheng Zhanhong, Sun Lijun, Bayesian inference for link travel time correlation of a bus route, Transportmetrica B: Transport Dynamics, Vol. 12 (1), 2024
Chen Xiaoxu, Zhang Chengyuan, Cheng Zhanhong, Hou Yuang, Sun Lijun, A Bayesian Gaussian Mixture Model for Probabilistic Modeling of Car-Following Behaviors, IEEE Transactions on Intelligent Transportation Systems, Vol. 25 (6), pp. 5880 - 5891, 2024
Chen Xinyu, Cheng Zhanhong, Cai Hanqin, Saunier Nicolas, Sun Lijun, Laplacian Convolutional Representation for Traffic Time Series Imputation, IEEE Transactions on Knowledge and Data Engineering, Vol. 36 (11), pp. 6490 - 6502, 2024
Chen Xinyu, Zhang Chengyuan, Chen Xiaoxu, Saunier Nicolas, Sun Lijun, Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression, IEEE Transactions on Knowledge and Data Engineering, Vol. 36, pp. 504-517, 2024
Lei Mengying, Labbe Aurélie, Sun Lijun, Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression, Bayesian Analysis, 2024
Liu Fuqiang, Tian Jingbo, Miranda-Moreno Luis F., Sun Lijun, Adversarial Danger Identification on Temporally Dynamic Graphs, IEEE Transactions on Neural Networks and Learning Systems, Vol. 35 (4), pp. 4744 - 4755, 2024
Wang Huanjie, Liu Haibin, Wang Wenshuo, Sun Lijun, On Trustworthy Decision-Making Process of Human Drivers From the View of Perceptual Uncertainty Reduction, IEEE Transactions on Intelligent Transportation Systems, Vol. 25 (2), pp. 1625 - 1636, 2024
Wang Lebing, Jin Jian Gang, Sun Lijun, Lee DH., Urban rail transit disruption management: Research progress and future directions, Frontiers of Engineering Management, Vol. 11, pp. 79–91, 2024
Wu Fan, Cheng Zhanhong, Chen Huiyu, Qiu Zhijun, Sun Lijun, Traffic state estimation from vehicle trajectories with anisotropic Gaussian processes, Transportation Research C: Emerging Technologies, Vol. 163, 104646, 2024
Xie Jiarui, Zhang Chonghui, Sun Lijun, Zhao Yaoyao Fiona, Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning, Journal of Computing and Information Science in Engineering, Vol. 24 (5), 051004, 2024
Zhang Chaopeng, Wang Wenshuo, Chen Zhaokun, Zhang Jian, Sun Lijun, Xi Junqiang, Shareable Driving Style Learning and Analysis With a Hierarchical Latent Model, IEEE Transactions on Intelligent Transportation Systems, Vol. 25 (9), pp. 11471 - 11484, 2024
Zhang Chengyuan, Sun Lijun, Bayesian Calibration of the Intelligent Driver Model, IEEE Transactions on Intelligent Transportation Systems, Vol. 25 (8), pp. 9308 - 9320, 2024
Zhang Chengyuan, Wang Wenshuo, Sun Lijun, Calibrating car-following models via Bayesian dynamic regression, Transportation Research Part C: Emerging Technologies, Vol. 168, 104719, 2024
Zhang Huiliang, Nie Ping, Sun Lijun, Boulet B., Nearest Neighbor Multivariate Time Series Forecasting, IEEE Transactions on Neural Networks and Learning Systems, 2024
Zhu Zheng, Zhu Shanjiang, Sun Lijun, Mardan Atabak, Modelling changes in travel behaviour mechanisms through a high-order hidden Markov model, Transportmetrica A: Transport Science, Vol. 20 (1), 2024
Ning Chunxiao, Xie Yazhou, Sun Lijun, LSTM, WaveNet, and 2D CNN for nonlinear time history prediction of seismic responses, Engineering Structures, Vol. 286, 116083, 2023
Sun Lijun, Cheng Z., Jin JG., Trépanier Martin, Chen X., Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model, Transportation Science, 57(6), pp. 1516-1535., 2023
Teufel Bernardo, Carmo F., Sun Lijun, Khaliq M. N., Bélair S., Shamseldin A., Nagesh Kumar D., Vaze J., Physics-informed deep learning framework to model intense precipitation events at super resolution, Geoscience Letters, Vol. 10, article 19, 2023
Wang Jiawei, Sun Lijun, Multi-objective multi-agent deep reinforcement learning to reduce bus bunching for multiline services with a shared corridor, Transportation Research Part C: Emerging Technologies, Vol. 155, 104309, 2023
Wang Jiawei, Sun Lijun, Robust Dynamic Bus Control: a Distributional Multi-Agent Reinforcement Learning Approach, IEEE Transactions on Intelligent Transportation Systems, Vol. 24 (4), pp. 4075 - 4088, 2023
Wang Xudong, Sun Lijun, Anti-circulant dynamic mode decomposition with sparsity-promoting for highway traffic dynamics analysis, Transportation Research C: Emerging Technologies, Vol. 153, 104178, 2023
Wang Xudong, Wu Yuankai, Zhuang Dingyi, Sun Lijun, Low-Rank Hankel Tensor Completion for Traffic Speed Estimation, IEEE Transactions on Intelligent Transportation Systems, Vol. 24 (5), pp. 4862 - 4871, 2023
Cai Haiming, Wang Jiawei, Li Binliang, Wang Jian, Sun Lijun, Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors, Transportation Research Part D: Transport and Environment, Vol. 128, 104079, 2022
Chen X., Sun Lijun, Bayesian Temporal Factorization for Multidimensional Time Series Prediction, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44 (9), 99 4659-4673, 2022
Chen Xinyu, Lei Mengying, Saunier Nicolas, Sun Lijun, Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation, IEEE Transactions on Intelligent Transportation Systems, Vol. 23 (8), pp. 12301 - 12310, 2022
Cheng Z., Wang Xudong, Chen X., Trépanier Martin, Sun Lijun, Bayesian calibration of traffic flow fundamental diagrams using Gaussian processes, IEEE Open Journal of Intelligent Transportation Systems, Vol. 3, pp. 763 - 771, 2022
Cheng Zhanhong, Trépanier Martin, Sun Lijun, Real-Time Forecasting of Metro Origin-Destination Matrices with High-Order Weighted Dynamic Mode Decomposition, Transportation Science, Vol. 56 (4), pp. 799-1110, 2022
Lei Mengying, Labbe Aurélie, Wu Yuankai, Sun Lijun, Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging, IEEE Transactions on Intelligent Transportation Systems, Vol. 23 (10), pp. 18962 - 18974, 2022
Liang Yuebing, Zhao Zhan, Sun Lijun, Memory-augmented dynamic graph convolution networks for traffic data imputation with diverse missing patterns, Transportation Research C: Emerging Technologies, Vol. 143, 103826, 2022
Liu Fuqiang, Wang Jiawei, Tian Jingbo, Zhuang Dingyi, Miranda-Moreno Luis F., Sun Lijun, A Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting, IEEE Transactions on Intelligent Transportation Systems, Vol. 23 (10), pp. 19064 - 19075, 2022
Wang Wenshuo, Wang Letian, Zhang Chengyuan, Liu Changliu, Sun Lijun, Social Interactions for Autonomous Driving: A Review and Perspectives, Foundation and Trends (R) in Robotics, Vol. 10, 197-376, 2022
Wang Xiaohan, Jin Jian Gang, Sun Lijun, Real-time dispatching of operating buses during unplanned disruptions to urban rail transit system, Transportation Research C: Emerging Technologies, Vol. 139, 103696, 2022
Xie Yazhou, Ning Chunxiao, Sun Lijun, The twenty-first century of structural engineering research: A topic modeling approach, Structures, Vol. 35, pp. 577-590, 2022
Yang Hongtai, Bao Yongxing, Huo Jinghai, Hu Simon, Yang Linchuan, Sun Lijun, Impact of road features on shared e-scooter trip volume: A study based on multiple membership multilevel model, Travel Behaviour and Society, Vol. 28, pp. 204-213, 2022
Zhang C., Nateghinia E., Miranda-Moreno Luis F., Sun Lijun, Winter road surface condition classification using convolutional neural network (CNN): visible light and thermal image fusion, Canadian Journal of Civil Engineering, Vol. 49(4), 2022
Zhang C., Nateghinia E., Miranda-Moreno Luis F., Sun Lijun, Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada, International Journal of Transportation Science and Technology, Vol. 11(2), pages 298-309, 2022
Zhu Kangli, Cheng Zhanhong, Wu Jianjun, Yuan Fuya, Sun Lijun, Quantifying out-of-station waiting time in oversaturated urban metro systems, Communications in Transportation Research, Vol. 2, 100052, 2022
Chen Xinyu, Chen Yixian, Saunier Nicolas, Sun Lijun, Scalable low-rank tensor learning for spatiotemporal traffic data imputation, Transportation Research C: Emerging Technologies, Vol. 129, 103226, 2021
Cheng Z., Trépanier Martin, Sun Lijun, Probabilistic model for destination inference and travel pattern mining from smart card data, Transportation, Vol. 48, pp. 2035-2053, 2021
Cheng Z., Trépanier Martin, Sun Lijun, Incorporating travel behavior regularity into passenger flow forecasting, Transportation Research Part C, vol. 128, 103200, 2021
Hawa L., Cui B., Sun Lijun, El-Geneidy Ahmed M., Scoot over: Determinants of shared electric scooter presence in Washington D.C, Case Studies on Transport Policy, Vol. 9 (2), pp. 418-430, 2021
Qian Xinwu, Sun Lijun, Ukkusuri S., Scaling of contact networks for epidemic spreading in urban transit systems, Scientific Reports, 11, 4408, 2021
Ren Pu, Chen X., Sun Lijun, Sun H., Incremental Bayesian matrix/tensor learning for structural monitoring data imputation and response forecasting, Mechanical Systems and Signal Processing, Vol. 158, 107734, 2021
Ren Pu, Chen Xinyu, Sun Lijun, Sun Hao, Incremental Bayesian matrix/tensor learning for structural monitoring data imputation and response forecasting, Mechanical Systems and Signal Processing, Vol. 158, 107734, 2021
Sun Lijun, Chen X., He Z., Miranda-Moreno Luis F., Routine pattern discovery and anomaly detection in individual travel behavior, Networks and Spatial Economics, Vol. 23, pp 407-428, 2021
Teufel Bernardo, Sushama Laxmi, Poitras Vincent, Dukhan Tarek, Bélair Stéphane, Miranda-Moreno Luis F., Sun Lijun, et al., Impact of COVID-19-Related Traffic Slowdown on Urban Heat Characteristics, Atmosphere, 12(2), 243, 2021
Wang Huanjie, Wang Wenshuo, Yuan Shihua, Li Xueyyuan, Sun Lijun, On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic, IEEE Transactions on Intelligent Transportation Systems, Vol. 23 (8), pp. 11237-11248, 2021
Wang Xudong, Cheng Z., Sun Lijun, Trépanier Martin, Modeling bike-sharing demand using a regression model with spatially varying coefficients, Journal of Transport Geography, vol. 93, 103059, 12 pages, 2021
Wang Xudong, Sun Lijun, Diagnosing Spatiotemporal Traffic Anomalies With Low-Rank Tensor Autoregression, IEEE Transactions on Intelligent Transportation Systems, Vol. 22 (12), 2021
Wu Yuankai, Teufel Bernardo, Sushama Laxmi, Bélair Stéphane, Sun Lijun, Deep Learning-Based Super-Resolution Climate Simulator-Emulator Framework for Urban Heat Studies, Geophysical Research Letters, Vol. 48 (19), e2021GL094737, 2021
Zhang M., Chen Shenwen, Sun Lijun, Du W., Cao X., Characterizing Flight Delay Profiles with a Tensor Factorization Framework, Engineering, Vol. 7 (4), pp. 465-472, 2021
Zhu Zheng, Sun Lijun, Chen X., Yang Hai, Integrating probabilistic tensor factorization with Bayesian supervised learning for dynamic ridesharing pattern analysis, Transportation Research Part C: Emerging Technologies, Vol. 124, 102916, 2021
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