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)
Incoming Non-self Citations Over Time
Authors
- 1. Amir Ilkhechi (Brown University)
- 2. Andrew Crotty (Brown University)
- 3. Alex Galakatos (Brown University)
- 4. Yicong Mao (Brown University)
- 5. Grace Fan (Brown University)
- 6. Xiran Shi (Brown University)
- 7. Ugur Cetintemel (Brown University)
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.
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00069513174 |
| 60 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.0003955489 |
| 186 | The Vertica Analytic Database: C-Store 7 Years Later | 2012 | VLDB | 0.00026182534 |
| 1,721 | Semantic Compression and Pattern Extraction with Fascicles | 1999 | VLDB | 9.9258415e-05 |
| 1,748 | How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations | 2006 | VLDB | 9.8480684e-05 |
| 2,050 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.2546631e-05 |
| 2,611 | SPARTAN: A Model-Based Semantic Compression System for Massive Data Tables | 2001 | SIGMOD | 8.34729e-05 |
| 3,370 | Revisiting Reuse for Approximate Query Processing | 2017 | VLDB | 7.4700891e-05 |
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