Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. - Qian Gong; Chengzhu Zhang; Xin Liang 001; Viktor Reshniak; Jieyang Chen; Anand Rangarajan 001; Sanjay Ranka; Nicolas Vidal 003; Lipeng Wan 001; Paul Ullrich; Norbert Podhorszki; Robert Jacob; et al. (e-Science, 2023)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Qian Gong; Jieyang Chen; Ben Whitney; Xin Liang 001; Viktor Reshniak; Tania Banerjee; Jaemoon Lee; Anand Rangarajan 001; Lipeng Wan 001; Nicolas Vidal 003; Qing Liu 002; Ana Gainaru; et al. (SoftwareX, 2023)

Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control. - Nicolas Vidal 003; Qian Gong; Viktor Reshniak; Rick Archibald; Scott Klasky (IEEE Big Data, 2024)

Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order. - Viktor Reshniak; Evan Ferguson; Qian Gong; Nicolas Vidal 003; Rick Archibald; Scott Klasky (CoRR, 2024)

A Performance Model of In-Situ Techniques. - Yi Ju; Nicolas Vidal 003; Adalberto Perez; Ana Gainaru; Frédéric Suter; Stefano Markidis; Philipp Schlatter; Scott Klasky; Erwin Laure (PDP, 2025)