Qiao Han

BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data

Block-wise missing data poses significant challenges in real-world data imputation tasks. Compared to scattered missing data, block-wise gaps exacerbate adverse effects on subsequent analytic and machine learning tasks, as the lack of local neighboring elements significantly reduces the interpolatio…