LeCo: Lightweight Compression via Learning Serial Correlations
Summary: LeCo uses learned models to remove serial redundancy in columnar data, unifying FOR, Delta, and RLE as a single framework. Real and synthetic data show Pareto gains in compression and random access; Arrow yields up to 5.2x speedups, RocksDB 16% throughput gain. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yihao Liu
- 2. Xinyu Zeng
- 3. Huanchen Zhang
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,516 | An Empirical Evaluation of Columnar Storage Formats | 2024 | VLDB | 6.1146215e-05 |
| 7,389 | Making In-Memory Learned Indexes Efficient on Disk | 2024 | SIGMOD | 4.7386163e-05 |
| 9,203 | F3: The Open-Source Data File Format for the Future | 2026 | SIGMOD | 4.3701616e-05 |
| 9,646 | The FastLanes File Format | 2025 | VLDB | 4.3067693e-05 |
| 10,175 | Improving LZ4 for Effective Compression and Efficient Query | 2026 | SIGMOD | 4.1905499e-05 |
| 10,316 | Eureka: Enabling Fine-Grained Access and Range Queries on Compressed Scientific Data via Data-Index Co-Compression | 2026 | VLDB | 4.1905499e-05 |
| 10,338 | Learned Static Function Data Structures | 2026 | VLDB | 4.1905499e-05 |
| 10,494 | Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store | 2025 | SIGMOD | 4.1905499e-05 |
| 10,762 | Selective Late Materialization in Modern Analytical Databases | 2025 | VLDB | 4.1905499e-05 |
| 11,039 | Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing | 2024 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 37 of 37 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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