Lijun Sun
Orcid: 0000-0001-9488-0712Affiliations:
- McGill University, Montreal, QC, Canada
According to our database1,
Lijun Sun
authored at least 69 papers
between 2012 and 2026.
Collaborative distances:
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Bibliography
2026
Inf. Fusion, 2026
2025
IEEE Trans. Neural Networks Learn. Syst., July, 2025
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving.
CoRR, May, 2025
Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach.
IEEE Trans. Intell. Transp. Syst., February, 2025
Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale.
IEEE Trans. Intell. Transp. Syst., January, 2025
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting.
Transp. Sci., 2025
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025
2024
IEEE Trans. Knowl. Data Eng., November, 2024
IEEE Trans. Intell. Transp. Syst., September, 2024
IEEE Trans. Intell. Transp. Syst., August, 2024
A Bayesian Gaussian Mixture Model for Probabilistic Modeling of Car-Following Behaviors.
IEEE Trans. Intell. Transp. Syst., June, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression.
IEEE Trans. Knowl. Data Eng., February, 2024
On Trustworthy Decision-Making Process of Human Drivers From the View of Perceptual Uncertainty Reduction.
IEEE Trans. Intell. Transp. Syst., February, 2024
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research.
CoRR, 2024
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast.
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
IEEE Trans. Intell. Transp. Syst., May, 2023
Robust Dynamic Bus Control: a Distributional Multi-Agent Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., April, 2023
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach.
CoRR, 2023
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering.
CoRR, 2023
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach.
CoRR, 2023
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering.
CoRR, 2023
Traffic State Estimation with Anisotropic Gaussian Processes from Vehicle Trajectories.
CoRR, 2023
CoRR, 2023
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023
2022
Real-Time Forecasting of Metro Origin-Destination Matrices with High-Order Weighted Dynamic Mode Decomposition.
Transp. Sci., 2022
On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic.
IEEE Trans. Intell. Transp. Syst., 2022
A Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., 2022
Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging.
IEEE Trans. Intell. Transp. Syst., 2022
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Found. Trends Robotics, 2022
Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Nonstationary Temporal Matrix Factorization for Multivariate Time Series Forecasting.
CoRR, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression.
CoRR, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Scalable Low-Rank Autoregressive Tensor Learning for Spatiotemporal Traffic Data Imputation.
CoRR, 2020
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning.
CoRR, 2020
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting.
CoRR, 2020
CoRR, 2020
CoRR, 2020
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation.
CoRR, 2020
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
A Probabilistic Tensor Factorization Approach to Detect Anomalies in Spatiotemporal Traffic Activities.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Identifying Station-Link Correlation for Target Passenger Flow Control in Subway Network.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2015
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
2014
Efficient detection of contagious outbreaks in massive metropolitan encounter networks.
CoRR, 2014
2013
Understanding the collective encounter patterns in an empirical urban contact network
CoRR, 2013
2012
Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system.
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012