VQLens: A Demonstration of Vector Query Execution Analysis
Summary: VQLens offers interactive visual analytics for vector query execution traces and large-scale vector distributions. Multi-view visualizations overlay traces to expose retrieval patterns, enabling both global pattern discovery and case-level analysis beyond traditional latency/recall metrics. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yansha Jia (Southern University of Science and Technology)
- 2. Zhengxin You (Southern University of Science and Technology)
- 3. Yujie Wang (Southern University of Science and Technology)
- 4. Qiaomu Shen (Beijing Institute of Technology)
- 5. Bo Tang (Beijing Institute of Technology; Southern University of Science and Technology)
BibTeX Citation
@inproceedings{jia_sigmod25,
title = {{VQLens: A Demonstration of Vector Query Execution Analysis}},
author = {Jia, Yansha and You, Zhengxin and Wang, Yujie and Shen, Qiaomu and Tang, Bo},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725142},
url = {https://dl.acm.org/doi/10.1145/3722212.3725142},
year = {2025}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,878 | VQA: Vertica Query Analyzer | 2014 | SIGMOD | 7.0511953e-05 |
| 11,485 | DHive: Query Execution Performance Analysis via Dataflow in Apache Hive | 2023 | VLDB | 5.093636e-05 |
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