41 citations · 63 across the 6 of their papers we have counts for
Showing 2020 · stat.MLShow all
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stat.ML2020
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…
stat.ML2020★ 20 cited
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…
stat.ML2020
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…