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Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression., , , , , , , , , and 6 other author(s). SMC, volume 1512 of Communications in Computer and Information Science, page 22-39. Springer, (2021)Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs., , , , , , , , , and 3 other author(s). CoRR, (2021)Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction., , , and . Computing, 105 (7): 1419-1465 (July 2023)Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression., , , , , , , , , and 2 other author(s). DRBSD@SC, page 26-32. IEEE, (2021)Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition., , , , , , , , , and . SC, page 88. ACM, (2021)Exacution: Enhancing Scientific Data Management for Exascale., , , , , , , , , and 7 other author(s). ICDCS, page 1927-1937. IEEE Computer Society, (2017)Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs., , , , , , , , , and 2 other author(s). IPDPS, page 859-868. IEEE, (2021)Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network., , , , , , , , , and . ICDE, page 2727-2739. IEEE, (2023)Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition., , , , , , , , , and 2 other author(s). SSDBM, page 5:1-5:12. ACM, (2022)RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data., , , , , , , , , and 1 other author(s). HPDC, page 87-100. ACM, (2023)