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Documents dont l'auteur est "Sun, Lijun"

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Nombre de documents: 14

C

Chen, X., Zhang, C., Chen, X., Saunier, N., & Sun, L. (2024). Discovering Dynamic Patterns from Spatiotemporal Data with Time-Varying Low-Rank Autoregression. IEEE Transactions on Knowledge and Data Engineering, 36(2), 504-517. Lien externe

Chen, X., Cheng, Z., Cai, H.Q., Saunier, N., & Sun, L. (2024). Laplacian Convolutional Representation for Traffic Time Series Imputation. IEEE Transactions on Knowledge and Data Engineering, 3419698 (13 pages). Lien externe

Cheng, Z. C., Wang, X., Chen, X., Trépanier, M., & Sun, L. (janvier 2023). Bayesian Calibration of Traffic Flow Fundamental Diagrams with Gaussian Processes [Communication écrite]. 102nd Annual meeting of the Transportation Research Board, Washington, D.C.. Lien externe

Cheng, Z., Wang, X., Chen, X., Trépanier, M., & Sun, L. (2022). Bayesian calibration of traffic flow fundamental diagrams using Gaussian processes. IEEE Open Journal of Intelligent Transportation Systems, 3, 763-771. Disponible

Chen, X., & Sun, L. (2022). Bayesian temporal factorization for multidimensional time series prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9), 4659-4673. Lien externe

Cheng, Z., Trépanier, M., & Sun, L. (2022). Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition. Transportation Science, 56(4), 904-918. Lien externe

Cheng, Z., Trépanier, M., & Sun, L. (novembre 2022). Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition [Communication écrite]. CASPT - Conference on Advanced Systems for Public Transport, Tel-Aviv, Israel. Non disponible

Cheng, Z., Trépanier, M., & Sun, L. (2021). Incorporating travel behavior regularity into passenger flow forecasting. Transportation Research Part C: Emerging Technologies, 128, 16 pages. Lien externe

Chen, X., Lei, M., Saunier, N., & Sun, L. (2021). Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12301-12310. Lien externe

Cheng, Z., Trépanier, M., & Sun, L. (2021). Probabilistic model for destination inference and travel pattern mining from smart card data. Lien externe

Chen, X., Chen, Y., Saunier, N., & Sun, L. (2021). Scalable low-rank tensor learning for spatiotemporal traffic data imputation. Transportation Research Part C: Emerging Technologies, 129, 13 pages. Lien externe

S

Sun, L., Chen, X., He, Z., & Miranda-Moreno, L. F. (2023). Routine Pattern Discovery and Anomaly Detection in Individual Travel Behavior. Networks and Spatial Economics, 23(2), 407-428. Lien externe

W

Wang, X., Cheng, Z., Trépanier, M., & Sun, L. (2021). Modeling bike-sharing demand using a regression model with spatially varying coefficients. Journal of Transport Geography, 93, 103059 (12 pages). Lien externe

Wang, X., Cheng, Z., Trépanier, M., & Sun, L. (janvier 2021). Quantifying the effect of factors on bike-sharing demand: A regression model with spatially varying coefficients [Communication écrite]. 100th Annual Meeting of the Transportation Research Board. Non disponible

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