LANCET: Labeling Complex Data at Scale
Summary: Unifies auto-labeling tasks: what, how, when. Guided by Covariate-shift and Continuity, LANCET maps data to semantic space, keeps labeled neighbors, and uses a distribution-matching network to decide when labeling is safe; outperforms Snuba/GOGGLES by 30pp. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Huayi Zhang (Worcester Polytechnic Institute)
- 2. Lei Cao (Massachusetts Institute of Technology)
- 3. Samuel Madden (Massachusetts Institute of Technology)
- 4. Elke Rundensteiner (Worcester Polytechnic Institute)
BibTeX Citation
@article{zhang_vldb21,
title = {{LANCET: Labeling Complex Data at Scale}},
author = {Zhang, Huayi and Cao, Lei and Madden, Samuel and Rundensteiner, Elke},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {11},
pages = {2154--2166},
doi = {10.14778/3476249.3476269},
url = {https://doi.org/10.14778/3476249.3476269},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,926 | VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building | 2023 | VLDB | 5.1955087e-05 |
| 10,658 | Agree to Disagree: Robust Anomaly Detection with Noisy Labels | 2025 | SIGMOD | 5.093636e-05 |
| 11,219 | MetaStore: Analyzing Deep Learning Meta-Data at Scale | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 205 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00025235185 |
| 1,094 | Snuba: Automating Weak Supervision to Label Training Data | 2019 | VLDB | 0.00012214617 |
| 3,869 | Smile: A System to Support Machine Learning on EEG Data at Scale | 2019 | VLDB | 7.0609879e-05 |
| 4,451 | GOGGLES: Automatic Image Labeling with Affinity Coding | 2020 | SIGMOD | 6.6952549e-05 |
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|---|---|---|---|---|
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| 4 | 205 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB |
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| 10 | 4,451 | GOGGLES: Automatic Image Labeling with Affinity Coding | 2020 | SIGMOD |