2 papers
stat.ME2026
Uncertainty Quantification for Noisy Low-tubal-rank Tensor Completion
Jiuqian Shang, Jingyang Li, Yang Chen
High-dimensional tensor data often exhibit strong temporal correlations that appear as low-dimensional structures in the frequency domain. While the low-tubal-rank tensor model eff…
cs.LG2025
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
Jingyang Li, Jiuqian Shang, Yang Chen
Tensor completion is crucial in many scientific domains with missing data problems. Traditional low-rank tensor models, including CP, Tucker, and Tensor-Train, exploit low-dimensio…