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bianhq merged 2 commits into from
Jul 8, 2026
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[docs] update publication #1343

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -117,11 +117,11 @@ Pixels is an academic system aims at providing production-grade quality. It supp
is compatible with the mainstream data analytic ecosystems.
The key ideas and insights in Pixels are elaborated in the following publications.

> [How Consistent and Fresh are Lake Tables Really](#)
> [How Consistent and Fresh are Lake Tables Really (short)](https://doi.org/10.1145/3802514.3812602)
Zinuo Li, Dongyang Geng, Haoqyue Li, Hailong Yu, Qi Lei, Haoqiong Bian
*Proceedings of the 1st International Workshop on Data FORMATS for Modern Architectures and Workloads* (**FORMATS'26 @ SIGMOD**)

> [PixelsDB: Serverless and NL-Aided Data Analytics with Flexible Service Levels and Prices](https://doi.org/10.1109/ICDE65448.2025.00365)
> [PixelsDB: Serverless and NL-Aided Data Analytics with Flexible Service Levels and Prices (demo)](https://doi.org/10.1109/ICDE65448.2025.00365)
Haoqiong Bian, Dongyang Geng, Haoyang Li, Yunpeng Chai, Anastasia Ailamaki
*Proceedings of the 41st IEEE International Conference on Data Engineering* (**ICDE'25**)

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