Xinyu Chen

Orcid: 0000-0001-6208-7744

Affiliations:
  • Massachusetts Institute of Technology, Cambridge, MA, USA
  • University of Montreal, QC, Canada (PhD 2023)


According to our database1, Xinyu Chen authored at least 22 papers between 2018 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
TailedTS: Benchmark Dataset for Heavy-Tailed Time Series Prediction and Periodicity Quantification.
CoRR, May, 2026

2025
Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Data-Driven Discovery of Mobility Periodicity for Understanding Urban Transportation Systems.
CoRR, August, 2025

Correlating Time Series With Interpretable Convolutional Kernels.
IEEE Trans. Knowl. Data Eng., June, 2025

Interpretable Time Series Autoregression for Periodicity Quantification.
CoRR, June, 2025

Forecasting Urban Traffic States with Sparse Data Using Hankel Temporal Matrix Factorization.
INFORMS J. Comput., 2025

Towards Foundation Model for Spatiotemporal Data Analysis.
Proceedings of the 19th International Symposium on Spatial and Temporal Data, 2025

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

Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst., November, 2024

Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression.
IEEE Trans. Knowl. Data Eng., February, 2024

Revisiting High-Order Tensor Singular Value Decomposition From Basic Element Perspective.
IEEE Trans. Signal Process., 2024

2023
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion.
SIAM J. Imaging Sci., September, 2023

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

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

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

2020
Scalable Low-Rank Autoregressive Tensor Learning for Spatiotemporal Traffic Data Imputation.
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

A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation.
CoRR, 2020

2018
A Collaborative Method for Route Discovery Using Taxi Drivers' Experience and Preferences.
IEEE Trans. Intell. Transp. Syst., 2018


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