Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system. - Lijun Sun 001; Der-Horng Lee; Alex Erath; Xianfeng Huang (UrbComp@KDD, 2012)

Understanding the collective encounter patterns in an empirical urban contact network - Lijun Sun 001; Kay W. Axhausen; Der-Horng Lee; Xianfeng Huang (CoRR, 2013)

Efficient detection of contagious outbreaks in massive metropolitan encounter networks. - Lijun Sun 001; Kay W. Axhausen; Der-Horng Lee; Manuel Cebrián (CoRR, 2014)

Quantifying long-term evolution of intra-urban spatial interactions. - Lijun Sun 001; Jian Gang Jin; Kay W. Axhausen; Der-Horng Lee; Manuel Cebrián (CoRR, 2014)

Modeling Temporal Flow Assignment in Metro Networks Using Smart Card Data. - Lijun Sun 001; Jian Gang Jin (ITSC, 2015)

Identifying Station-Link Correlation for Target Passenger Flow Control in Subway Network. - Zhaocheng He; Yixian Chen; Lijun Sun 001; Jiaming Zhong; Yiting Zhu (ITSC, 2018)

A Probabilistic Tensor Factorization Approach to Detect Anomalies in Spatiotemporal Traffic Activities. - Xudong Wang; Antoine Fagette; Pascal Sartelet; Lijun Sun 001 (ITSC, 2019)

Urban Human Mobility: Data-Driven Modeling and Prediction. - Jinzhong Wang; Xiangjie Kong 001; Feng Xia 001; Lijun Sun 001 (SIGKDD Explor., 2019)

Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization. - Chenyang Xi; Tianyu Shi; Yuankai Wu; Lijun Sun 001 (ITSC, 2020)

A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation. - Xinyu Chen 002; Jinming Yang; Lijun Sun 001 (CoRR, 2020)

Incorporating travel behavior regularity into passenger flow forecasting. - Zhanhong Cheng; Martin Trépanier; Lijun Sun 001 (CoRR, 2020)

Routine pattern discovery and anomaly detection in individual travel behavior. - Lijun Sun 001; Xinyu Chen 002; Zhaocheng He; Luis Miranda-Moreno (CoRR, 2020)

Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting. - Xinyu Chen 002; Lijun Sun 001 (CoRR, 2020)

Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting. - Pu Ren; Xinyu Chen 002; Lijun Sun 001; Hao Sun 002 (CoRR, 2020)

Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning. - Tianyu Shi; Jiawei Wang 005; Yuankai Wu; Lijun Sun 001 (CoRR, 2020)

Scalable Low-Rank Autoregressive Tensor Learning for Spatiotemporal Traffic Data Imputation. - Xinyu Chen 002; Yixian Chen; Lijun Sun 001 (CoRR, 2020)

Inductive Graph Neural Networks for Spatiotemporal Kriging. - Yuankai Wu; Dingyi Zhuang; Aurélie Labbe; Lijun Sun 001 (AAAI, 2021)

Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning. - Jiawei Wang 005; Lijun Sun 001 (IJCAI, 2021)

Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression. - Mengying Lei; Aurélie Labbe; Lijun Sun 001 (CoRR, 2021)

Individual Mobility Prediction via Attentive Marked Temporal Point Processes. - Yuankai Wu; Zhanhong Cheng; Lijun Sun 001 (CoRR, 2021)

Spatially Focused Attack against Spatiotemporal Graph Neural Networks. - Fuqiang Liu; Luis Miranda-Moreno; Lijun Sun 001 (CoRR, 2021)

Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. - Yuankai Wu; Dingyi Zhuang; Mengying Lei; Aurélie Labbe; Lijun Sun 001 (CoRR, 2021)

Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection. - Xudong Wang; Luis Miranda-Moreno; Lijun Sun 001 (CoRR, 2021)

Diagnosing Spatiotemporal Traffic Anomalies With Low-Rank Tensor Autoregression. - Xudong Wang; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2021)

Nonstationary Temporal Matrix Factorization for Multivariate Time Series Forecasting. - Xinyu Chen 002; Chengyuan Zhang 002; Xi-Le Zhao; Nicolas Saunier; Lijun Sun 001 (CoRR, 2022)

Social Interactions for Autonomous Driving: A Review and Perspective. - Wenshuo Wang 001; Letian Wang; Chengyuan Zhang 002; Changliu Liu; Lijun Sun 001 (CoRR, 2022)

Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data. - Mengying Lei; Aurélie Labbe; Lijun Sun 001 (CoRR, 2022)

Laplacian Convolutional Representation for Traffic Time Series Imputation. - Xinyu Chen 002; Zhanhong Cheng; Nicolas Saunier; Lijun Sun 001 (CoRR, 2022)

Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting. - Seongjin Choi; Nicolas Saunier; Martin Trépanier; Lijun Sun 001 (CoRR, 2022)

Social Interactions for Autonomous Driving: A Review and Perspectives. - Wenshuo Wang 001; Letian Wang; Chengyuan Zhang 002; Changliu Liu; Lijun Sun 001 (Found. Trends Robotics, 2022)

Bayesian Temporal Factorization for Multidimensional Time Series Prediction. - Xinyu Chen 002; Lijun Sun 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation. - Xinyu Chen 002; Mengying Lei; Nicolas Saunier; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging. - Mengying Lei; Aurélie Labbe; Yuankai Wu; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2022)

A Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting. - Fuqiang Liu; Jiawei Wang 005; Jingbo Tian; Dingyi Zhuang; Luis Miranda-Moreno; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2022)

On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic. - Huanjie Wang; Wenshuo Wang 001; Shihua Yuan; Xueyuan Li; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Real-Time Forecasting of Metro Origin-Destination Matrices with High-Order Weighted Dynamic Mode Decomposition. - Zhanhong Cheng; Martin Trépanier; Lijun Sun 001 (Transp. Sci., 2022)

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery. - Dedong Li; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Qingyuan Gong; Lijun Sun 001; Wolfgang Ketter; Rui Zhao 001 (GeoSearch@SIGSPATIAL, 2023)

Interactive Car-Following: Matters but NOT Always. - Chengyuan Zhang 002; Rui Chen 030; Jiacheng Zhu; Wenshuo Wang 001; Changliu Liu; Lijun Sun 001 (ITSC, 2023)

Enhancing Deep Traffic Forecasting Models with Dynamic Regression. - Vincent Zhihao Zheng; Seongjin Choi; Lijun Sun 001 (CoRR, 2023)

Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization. - Mengying Lei; Lijun Sun 001 (CoRR, 2023)

Traffic State Estimation with Anisotropic Gaussian Processes from Vehicle Trajectories. - Fan Wu; Zhanhong Cheng; Huiyu Chen; Tony Z. Qiu; Lijun Sun 001 (CoRR, 2023)

Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering. - Ziyue Li 002; Hao Yan; Chen Zhang 007; Andi Wang 001; Wolfgang Ketter; Lijun Sun 001; Fugee Tsung (CoRR, 2023)

Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach. - Chunwei Yang; Xiaoxu Chen; Lijun Sun 001; Hongyu Yang; Yuankai Wu (CoRR, 2023)

Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. - Ziyue Li 002; Hao Yan; Chen Zhang 007; Lijun Sun 001; Wolfgang Ketter; Fugee Tsung (CoRR, 2023)

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. - Jinguo Cheng; Ke Li; Yuxuan Liang; Lijun Sun 001; Junchi Yan; Yuankai Wu (CoRR, 2023)

Robust Dynamic Bus Control: a Distributional Multi-Agent Reinforcement Learning Approach. - Jiawei Wang 005; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. - Xudong Wang; Yuankai Wu; Dingyi Zhuang; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Better Batch for Deep Probabilistic Time Series Forecasting. - Vincent Zhihao Zheng; Seongjin Choi; Lijun Sun 001 (AISTATS, 2024)

Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression. - Chengyuan Zhang 002; Kehua Chen; Meixin Zhu; Hai Yang 003; Lijun Sun 001 (IV, 2024)

Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control. - Sicong Jiang; Seongjin Choi; Lijun Sun 001 (CoRR, 2024)

Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast. - Man Li 003; Ziyue Li 002; Lijun Sun 001; Fugee Tsung (CoRR, 2024)

A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research. - Seongjin Choi; Zhixiong Jin; Seung Woo Ham; Jiwon Kim; Lijun Sun 001 (CoRR, 2024)

Generalized Least Squares Kernelized Tensor Factorization. - Mengying Lei; Lijun Sun 001 (CoRR, 2024)

On Trustworthy Decision-Making Process of Human Drivers From the View of Perceptual Uncertainty Reduction. - Huanjie Wang; Haibin Liu; Wenshuo Wang 001; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression. - Xinyu Chen 002; Chengyuan Zhang 002; Xiaoxu Chen; Nicolas Saunier; Lijun Sun 001 (IEEE Trans. Knowl. Data Eng., 2024)

Adversarial Danger Identification on Temporally Dynamic Graphs. - Fuqiang Liu; Jingbo Tian; Luis Miranda-Moreno; Lijun Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Bayesian Gaussian Mixture Model for Probabilistic Modeling of Car-Following Behaviors. - Xiaoxu Chen; Chengyuan Zhang 002; Zhanhong Cheng; Yuang Hou; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Bayesian Calibration of the Intelligent Driver Model. - Chengyuan Zhang 002; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Shareable Driving Style Learning and Analysis With a Hierarchical Latent Model. - Chaopeng Zhang; Wenshuo Wang 001; Zhaokun Chen; Jian Zhang; Lijun Sun 001; Junqiang Xi (IEEE Trans. Intell. Transp. Syst., 2024)

Laplacian Convolutional Representation for Traffic Time Series Imputation. - Xinyu Chen 002; Zhanhong Cheng; HanQin Cai; Nicolas Saunier; Lijun Sun 001 (IEEE Trans. Knowl. Data Eng., 2024)

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting. - Fuqiang Liu; Sicong Jiang; Luis Miranda-Moreno; Seongjin Choi; Lijun Sun 001 (AISTATS, 2025)

Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting. - Seongjin Choi; Nicolas Saunier; Vincent Zhihao Zheng; Martin Trépanier; Lijun Sun 001 (Transp. Sci., 2025)

Probabilistic Traffic Forecasting with Dynamic Regression. - Vincent Zhihao Zheng; Seongjin Choi; Lijun Sun 001 (Transp. Sci., 2025)

Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale. - Tong Nie; Guoyang Qin; Lijun Sun 001; Wei Ma; Yu Mei; Jian Sun 010 (IEEE Trans. Intell. Transp. Syst., 2025)

Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach. - Jinguo Cheng; Ke Li; Yuxuan Liang; Lijun Sun 001; Junchi Yan; Yuankai Wu (IEEE Trans. Intell. Transp. Syst., 2025)

AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving. - Kangan Qian; Sicong Jiang; Yang Zhong; Ziang Luo; Zilin Huang; Tianze Zhu; Kun Jiang 002; Mengmeng Yang 001; Zheng Fu; Jinyu Miao; Yining Shi 002; He Zhe Lim; et al. (CoRR, 2025)

A Survey on Vision-Language-Action Models for Autonomous Driving. - Sicong Jiang; Zilin Huang; Kangan Qian; Ziang Luo; Tianze Zhu; Yang Zhong; Yihong Tang; Menglin Kong; Yunlong Wang 009; Siwen Jiao; Hao Ye; Zihao Sheng; et al. (CoRR, 2025)

Nearest Neighbor Multivariate Time Series Forecasting. - Huiliang Zhang; Ping Nie; Lijun Sun 001; Benoit Boulet (IEEE Trans. Neural Networks Learn. Syst., 2025)

Error adjustment based on spatiotemporal correlation fusion for traffic forecasting. - Fuqiang Liu; Weiping Ding 001; Luis Miranda-Moreno; Lijun Sun 001 (Inf. Fusion, 2026)