Lijun Sun

Orcid: 0000-0001-9488-0712

Affiliations:
  • McGill University, Montreal, QC, Canada


According to our database1, Lijun Sun authored at least 69 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Error adjustment based on spatiotemporal correlation fusion for traffic forecasting.
Inf. Fusion, 2026

2025
Nearest Neighbor Multivariate Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

A Survey on Vision-Language-Action Models for Autonomous Driving.
CoRR, June, 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

Probabilistic Traffic Forecasting with Dynamic Regression.
Transp. Sci., 2025

Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting.
Transp. Sci., 2025

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Laplacian Convolutional Representation for Traffic Time Series Imputation.
IEEE Trans. Knowl. Data Eng., November, 2024

Shareable Driving Style Learning and Analysis With a Hierarchical Latent Model.
IEEE Trans. Intell. Transp. Syst., September, 2024

Bayesian Calibration of the Intelligent Driver Model.
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

Adversarial Danger Identification on Temporally Dynamic Graphs.
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

Generalized Least Squares Kernelized Tensor Factorization.
CoRR, 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

Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control.
CoRR, 2024

Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Better Batch for Deep Probabilistic Time Series Forecasting.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation.
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

Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization.
CoRR, 2023

Enhancing Deep Traffic Forecasting Models with Dynamic Regression.
CoRR, 2023

Interactive Car-Following: Matters but NOT Always.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery.
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

Bayesian Temporal Factorization for Multidimensional Time Series Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Social Interactions for Autonomous Driving: A Review and Perspectives.
Found. Trends Robotics, 2022

Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting.
CoRR, 2022

Laplacian Convolutional Representation for Traffic Time Series Imputation.
CoRR, 2022

Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data.
CoRR, 2022

Social Interactions for Autonomous Driving: A Review and Perspective.
CoRR, 2022

Nonstationary Temporal Matrix Factorization for Multivariate Time Series Forecasting.
CoRR, 2022

2021
Diagnosing Spatiotemporal Traffic Anomalies With Low-Rank Tensor Autoregression.
IEEE Trans. Intell. Transp. Syst., 2021

Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection.
CoRR, 2021

Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging.
CoRR, 2021

Spatially Focused Attack against Spatiotemporal Graph Neural Networks.
CoRR, 2021

Individual Mobility Prediction via Attentive Marked Temporal Point Processes.
CoRR, 2021

Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression.
CoRR, 2021

Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Inductive Graph Neural Networks for Spatiotemporal Kriging.
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

Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting.
CoRR, 2020

Routine pattern discovery and anomaly detection in individual travel behavior.
CoRR, 2020

Incorporating travel behavior regularity into passenger flow forecasting.
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
Urban Human Mobility: Data-Driven Modeling and Prediction.
SIGKDD Explor., 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
Modeling Temporal Flow Assignment in Metro Networks Using Smart Card Data.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014
Quantifying long-term evolution of intra-urban spatial interactions.
CoRR, 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


  Loading...