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DeepSqueeze: Deep Semantic Compression for Tabular Data

Summary: DeepSqueeze uses autoencoders to map tabular rows to a compact latent space, capturing cross-column dependencies beyond per-column encodings. It provides bounds for lossy numerical compression and works with columnar formats, achieving ~4x reduction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h040c52ca78028587
Venue
SIGMOD
Year
2020
Pagerank
7.5987721e-05
Overall Rank
3,141 | 78.90%
DOI
10.1145/3318464.3389734

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ilkhechi_sigmod20,
        title = {{DeepSqueeze: Deep Semantic Compression for Tabular Data}},
        author = {Ilkhechi, Amir and Crotty, Andrew and Galakatos, Alex and Mao, Yicong and Fan, Grace and Shi, Xiran and Cetintemel, Ugur},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389734},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389734},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 17 of 17 citing papers.

Rank Citing Paper Year Venue Pagerank
4,155 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.7730383e-05
5,973 Towards instance-optimized data systems 2021 VLDB 5.9281867e-05
6,686 Hierarchical Residual Encoding for Multiresolution Time Series Compression 2023 SIGMOD 5.7066636e-05
8,021 Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models 2024 VLDB 5.4041713e-05
8,037 Mach: A Pluggable Metrics Storage Engine for the Age of Observability 2022 CIDR 5.4011667e-05
8,389 AWARE: Workload-aware, Redundancy-exploiting Linear Algebra 2023 SIGMOD 5.3396465e-05
8,487 Deep Learning: Systems and Responsibility 2021 SIGMOD 5.3306164e-05
9,850 High-Ratio Compression for Machine-Generated Data 2023 SIGMOD 5.1198764e-05
10,150 QStore: Quantization-Aware Compressed Model Storage 2026 VLDB 5.0691578e-05
10,256 AnyBlox: A Framework for Self-Decoding Datasets 2025 VLDB 5.0495724e-05
10,484 L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression 2026 SIGMOD 4.9769913e-05
10,954 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 4.9769913e-05
11,079 Learned Static Function Data Structures 2026 VLDB 4.9769913e-05
11,585 Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing 2024 VLDB 4.9769913e-05
11,589 QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models 2024 VLDB 4.9769913e-05
11,640 DeepSketch: A Query Sketching Interface for Deep Time Series Similarity Search 2024 VLDB 4.9769913e-05
11,879 Statistical Schema Learning using Occam's Razor 2022 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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