3 papers
cs.LG2025
Exact Recovery of Non-Random Missing Multidimensional Time Series via Temporal Isometric Delay-Embedding Transform
Hao Shu, Jicheng Li, Yu Jin +1
Non-random missing data is a ubiquitous yet undertreated flaw in multidimensional time series, fundamentally threatening the reliability of data-driven analysis and decision-making…
cs.LG2025
Robust Tensor Completion via Gradient Tensor Nulclear L1-L2 Norm for Traffic Data Recovery
Hao Shu, Jicheng Li, Tianyv Lei +1
In real-world scenarios, spatiotemporal traffic data frequently experiences dual degradation from missing values and noise caused by sensor malfunctions and communication failures.…
cs.LG2025
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
Hao Shu, Jicheng Li, Yu Jin +1
In recent years, the prediction of multidimensional time series data has become increasingly important due to its wide-ranging applications. Tensor-based prediction methods have ga…