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[Issue #1297] update publications #1381

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bianhq merged 2 commits into from
Aug 16, 2026
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[Issue #1297] update publications #1381

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bianhq Aug 16, 2026
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10 changes: 7 additions & 3 deletions README.md
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Expand Up @@ -117,8 +117,12 @@ 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 (short)](https://doi.org/10.1145/3802514.3812602)
Zinuo Li, Dongyang Geng, Haoqyue Li, Hailong Yu, Qi Lei, Haoqiong Bian
> [Transactional Data Change for Real-Time Analytics in Lakehouses]()
Dongyang Geng, Haoqiong Bian, Zinuo Li, Haoyue Li
*Proceedings of the VLDB Endowment, Volume 19* (**VLDB'26**)

> [How Consistent and Fresh are Lake Tables Really](https://doi.org/10.1145/3802514.3812602)
Zinuo Li, Dongyang Geng, Haoyue 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 (demo)](https://doi.org/10.1109/ICDE65448.2025.00365)
Expand All @@ -127,7 +131,7 @@ The key ideas and insights in Pixels are elaborated in the following publication

> [Serverless Query Processing with Flexible Performance SLAs and Prices](https://arxiv.org/abs/2409.01388)
Haoqiong Bian, Dongyang Geng, Yunpeng Chai, Anastasia Ailamaki
*arXiv preprint arXiv:2409.01388* (**arXiv'24**)
*arXiv preprint arXiv:2409.01388*

> [Using Cloud Functions as Accelerator for Elastic Data Analytics](https://doi.org/10.1145/3589306)
Haoqiong Bian, Tiannan Sha, Anastasia Ailamaki
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