4 citations · 6 across the 5 of their papers we have counts for
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cs.DB2025
QStore: Quantization-Aware Compressed Model Storage
Raunak Shah, Zhaoheng Li, Yongjoo Park
Modern applications commonly leverage large, multi-modal foundation models. These applications often feature complex workflows that demand the storage and usage of similar models i…
cs.DB2025★ 4 cited
Lance: Efficient Random Access in Columnar Storage through Adaptive Structural Encodings
Weston Pace, Chang She, Lei Xu +4
The growing interest in artificial intelligence has created workloads that require both sequential and random access. At the same time, NVMe-backed storage solutions have emerged,…
cs.DB2023
R2D2: Reducing Redundancy and Duplication in Data Lakes
Raunak Shah, Koyel Mukherjee, Atharv Tyagi +4
Enterprise data lakes often suffer from substantial amounts of duplicate and redundant data, with data volumes ranging from terabytes to petabytes. This leads to both increased sto…