From 095567f016eb09b96df76502d10d203214f08bb4 Mon Sep 17 00:00:00 2001 From: Haoqiong Bian Date: Wed, 8 Jul 2026 16:16:39 +0800 Subject: [PATCH 1/2] update --- README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index be8c6e5b3..be020f6e7 100644 --- a/README.md +++ b/README.md @@ -117,12 +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](#) - Zinuo Li, Dongyang Geng, Haoqyue Li, Hailong Yu, Qi Lei, Haoqiong Bian +> [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) - Haoqiong Bian, Dongyang Geng, Haoyang Li, Yunpeng Chai, Anastasia Ailamaki +> [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**) > [Serverless Query Processing with Flexible Performance SLAs and Prices](https://arxiv.org/abs/2409.01388) @@ -130,25 +130,25 @@ The key ideas and insights in Pixels are elaborated in the following publication *arXiv preprint arXiv:2409.01388* (**arXiv'24**) > [Using Cloud Functions as Accelerator for Elastic Data Analytics](https://doi.org/10.1145/3589306) - Haoqiong Bian, Tiannan Sha, Anastasia Ailamaki + Haoqiong Bian, Tiannan Sha, Anastasia Ailamaki *Proceedings of the 2023 ACM International Conference on Management of Data* (**SIGMOD'23**) > [Columnar Storage Optimization and Caching for Data Lakes (short)](https://doi.org/10.48786/edbt.2022.33) - Guodong Jin, Haoqiong Bian, Yueguo Chen, Xiaoyong Du + Guodong Jin, Haoqiong Bian, Yueguo Chen, Xiaoyong Du *Proceedings of the 25th International Conference on Extending Database Technology* (**EDBT'22**) > [Pixels: An Efficient Column Store for Cloud Data Lakes](https://doi.org/10.1109/ICDE53745.2022.00276) - Haoqiong Bian, Anastasia Ailamaki + Haoqiong Bian, Anastasia Ailamaki *Proceedings of the 38th IEEE International Conference on Data Engineering* (**ICDE'22**) > [Pixels: Multiversion Wide Table Store for Data Lakes (abstract)](https://www.cidrdb.org/cidr2020/gongshow2020/gongshow/abstracts/cidr2020_abstract74.pdf) - Haoqiong Bian + Haoqiong Bian *10th Annual Conference on Innovative Data Systems Research* (**CIDR'20**) > [Rainbow: Adaptive Layout Optimization for Wide Tables (demo)](https://doi.org/10.1109/ICDE.2018.00200) - Haoqiong Bian, Youxian Tao, Guodong Jin, Yueguo Chen, Xiongpai Qin, Xiaoyong Du + Haoqiong Bian, Youxian Tao, Guodong Jin, Yueguo Chen, Xiongpai Qin, Xiaoyong Du *Proceedings of the 34th IEEE International Conference on Data Engineering* (**ICDE'18**) > [Wide Table Layout Optimization by Column Ordering and Duplication](https://doi.org/10.1145/3035918.3035930) - Haoqiong Bian, Ying Yan, Wenbo Tao, Liang Jeff Chen, Yueguo Chen, Xiaoyong Du, Thomas Moscibroda + Haoqiong Bian, Ying Yan, Wenbo Tao, Liang Jeff Chen, Yueguo Chen, Xiaoyong Du, Thomas Moscibroda *Proceedings of the 2017 ACM International Conference on Management of Data* (**SIGMOD'17**) From d36973fdc6f2b6db73877ebd5df840afc6e98a96 Mon Sep 17 00:00:00 2001 From: Haoqiong Bian Date: Wed, 8 Jul 2026 16:18:35 +0800 Subject: [PATCH 2/2] update --- README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index be020f6e7..5be90b3e0 100644 --- a/README.md +++ b/README.md @@ -118,11 +118,11 @@ 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 + 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 (demo)](https://doi.org/10.1109/ICDE65448.2025.00365) - Haoqiong Bian, Dongyang Geng, Haoyang Li, Yunpeng Chai, Anastasia Ailamaki + Haoqiong Bian, Dongyang Geng, Haoyang Li, Yunpeng Chai, Anastasia Ailamaki *Proceedings of the 41st IEEE International Conference on Data Engineering* (**ICDE'25**) > [Serverless Query Processing with Flexible Performance SLAs and Prices](https://arxiv.org/abs/2409.01388) @@ -130,25 +130,25 @@ The key ideas and insights in Pixels are elaborated in the following publication *arXiv preprint arXiv:2409.01388* (**arXiv'24**) > [Using Cloud Functions as Accelerator for Elastic Data Analytics](https://doi.org/10.1145/3589306) - Haoqiong Bian, Tiannan Sha, Anastasia Ailamaki + Haoqiong Bian, Tiannan Sha, Anastasia Ailamaki *Proceedings of the 2023 ACM International Conference on Management of Data* (**SIGMOD'23**) > [Columnar Storage Optimization and Caching for Data Lakes (short)](https://doi.org/10.48786/edbt.2022.33) - Guodong Jin, Haoqiong Bian, Yueguo Chen, Xiaoyong Du + Guodong Jin, Haoqiong Bian, Yueguo Chen, Xiaoyong Du *Proceedings of the 25th International Conference on Extending Database Technology* (**EDBT'22**) > [Pixels: An Efficient Column Store for Cloud Data Lakes](https://doi.org/10.1109/ICDE53745.2022.00276) - Haoqiong Bian, Anastasia Ailamaki + Haoqiong Bian, Anastasia Ailamaki *Proceedings of the 38th IEEE International Conference on Data Engineering* (**ICDE'22**) > [Pixels: Multiversion Wide Table Store for Data Lakes (abstract)](https://www.cidrdb.org/cidr2020/gongshow2020/gongshow/abstracts/cidr2020_abstract74.pdf) - Haoqiong Bian + Haoqiong Bian *10th Annual Conference on Innovative Data Systems Research* (**CIDR'20**) > [Rainbow: Adaptive Layout Optimization for Wide Tables (demo)](https://doi.org/10.1109/ICDE.2018.00200) - Haoqiong Bian, Youxian Tao, Guodong Jin, Yueguo Chen, Xiongpai Qin, Xiaoyong Du + Haoqiong Bian, Youxian Tao, Guodong Jin, Yueguo Chen, Xiongpai Qin, Xiaoyong Du *Proceedings of the 34th IEEE International Conference on Data Engineering* (**ICDE'18**) > [Wide Table Layout Optimization by Column Ordering and Duplication](https://doi.org/10.1145/3035918.3035930) - Haoqiong Bian, Ying Yan, Wenbo Tao, Liang Jeff Chen, Yueguo Chen, Xiaoyong Du, Thomas Moscibroda + Haoqiong Bian, Ying Yan, Wenbo Tao, Liang Jeff Chen, Yueguo Chen, Xiaoyong Du, Thomas Moscibroda *Proceedings of the 2017 ACM International Conference on Management of Data* (**SIGMOD'17**)