Selected Publications

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All papers are listed below in reverse chronological order in which they appeared online. Our papers have been cited more than 1,400 times on Google Scholar, and they have been published in top-tier scientific journals in the areas of Data Science, Machine Learning, and Optimization, including TPAMI, TKDE, and IJOC.

Submitted Manuscripts

• Correlating time series with interpretable convolutional kernels
  arXiv preprint arXiv:2409.01362.
  2nd-Round Review, IEEE Transactions on Knowledge and Data Engineering (TKDE)
  Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua Zhao
  [PDF] [Blog post]

• Dynamic autoregressive tensor factorization for pattern discovery of spatiotemporal systems
  2nd-Round Review, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  Xinyu Chen, Dingyi Zhuang, HanQin Cai, Shenhao Wang, Jinhua Zhao
  

2025

• Forecasting sparse movement speed of urban road networks with nonstationary temporal matrix factorization
  Accepted for publication, Transportation Science (TS)
  Xinyu Chen, Chengyuan Zhang, Xi-Le Zhao, Nicolas Saunier, Lijun Sun
  [PDF] [Slides] [Data & Python code]

2024

• Forecasting urban traffic states with sparse data using Hankel temporal matrix factorization
  INFORMS Journal on Computing (IJOC). Early Access.
  Xinyu Chen, Xi-Le Zhao, Chun Cheng
  [PDF] [Data & Python code]

• Laplacian convolutional representation for traffic time series imputation
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 36 (11): 6490-6502.
  Xinyu Chen, Zhanhong Cheng, HanQin Cai, Nicolas Saunier, Lijun Sun
  [PDF] [Slides] [Blog post] [Data & Python code]

• Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 36 (2): 504-517.
  Xinyu Chen, Chengyuan Zhang, Xiaoxu Chen, Nicolas Saunier, Lijun Sun
  [PDF] [Data & Python code] [Blog post]

2022

• Bayesian temporal factorization for multidimensional time series prediction
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, 44 (9): 4659-4673.
  Xinyu Chen, Lijun Sun
  [Preprint] [Slides] [Data & Python code] 200+ citations
  

• Low-rank autoregressive tensor completion for spatiotemporal traffic data imputation
  IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (8): 12301-12310.
  Xinyu Chen, Mengying Lei, Nicolas Saunier, Lijun Sun
  [Preprint] [Data & Python code] [Toy example] 100+ citations

2021

• Scalable low-rank tensor learning for spatiotemporal traffic data imputation
  Transportation Research Part C: Emerging Technologies, 2021, 129: 103226.
  Xinyu Chen, Yixian Chen, Nicolas Saunier, Lijun Sun
  [Preprint] [Data] [Python code]

2020

• A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation
  Transportation Research Part C: Emerging Technologies, 2020, 117: 102673.
  Xinyu Chen, Jinming Yang, Lijun Sun
  [Preprint] [Data & Python code] 100+ citations

2019

• Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model
  Transportation Research Part C: Emerging Technologies, 2019, 104: 66-77.
  Xinyu Chen, Zhaocheng He, Yixian Chen, Yuhuan Lu, Jiawei Wang
  [Slides] [Data] [Matlab code] 100+ citations

• A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
  Transportation Research Part C: Emerging Technologies, 2019, 98: 73-84.
  Xinyu Chen, Zhaocheng He, Lijun Sun
  [Data] [Matlab code] [Python code] 300+ citations

2018

• Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition
  Transportation Research Part C: Emerging Technologies, 2018, 86: 59-77.
  Xinyu Chen, Zhaocheng He, Jiawei Wang
  [Data] 100+ citations

Art: Chinese Painting (国画：“千里江山图”)