268 citations · 815 across the 12 of their papers we have counts for
5 papers · 1 filter
Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation
Xinyu Chen, Yixian Chen, Nicolas Saunier +1
Missing value problem in spatiotemporal traffic data has long been a challenging topic, in particular for large-scale and high-dimensional data with complex missing mechanisms and…
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting
Pu Ren, Xinyu Chen, Lijun Sun +1
There has been increased interest in missing sensor data imputation, which is ubiquitous in the field of structural health monitoring (SHM) due to discontinuous sensing caused by s…
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Xinyu Chen, Lijun Sun
Time series prediction has been a long-standing research topic and an essential application in many domains. Modern time series collected from sensor networks (e.g., energy consump…
Routine pattern discovery and anomaly detection in individual travel behavior
Lijun Sun, Xinyu Chen, Zhaocheng He +1
Discovering patterns and detecting anomalies in individual travel behavior is a crucial problem in both research and practice. In this paper, we address this problem by building a…
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation
Xinyu Chen, Jinming Yang, Lijun Sun
Sparsity and missing data problems are very common in spatiotemporal traffic data collected from various sensing systems. Making accurate imputation is critical to many application…