From 214c5c25fc0d5745417a20c5e95ee473a06397e1 Mon Sep 17 00:00:00 2001 From: Siqi Wang Date: Wed, 3 Jan 2024 11:47:34 +0800 Subject: [PATCH] docs: Update publication (#3688) --- README.md | 4 ++-- README_cn.md | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index aacea720498..0b499efebdd 100644 --- a/README.md +++ b/README.md @@ -157,11 +157,11 @@ We really appreciate the contribution from our community. ![wechat](docs/en/about/images/wechat.png) ## 12. Publications - +- [PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation](https://tonyskyzeng.github.io/downloads/PECJ_TR.pdf). Xianzhi Zeng, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, and Yuqiang Chen. International Conference on Management of Data (SIGMOD/PODS) 2024. - [Principles and Practices of Real-Time Feature Computing Platforms for ML](https://cacm.acm.org/magazines/2023/7/274061-principles-and-practices-of-real-time-feature-computing-platforms-for-ml/fulltext). Hao Zhang, Jun Yang, Cheng Chen, Siqi Wang, Jiashu Li, and Mian Lu. 2023. Communications of the ACM 66, 7 (July 2023), 77–78. - [Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB](docs/paper/scale_oij_icde2023.pdf). Hao Zhang, Xianzhi Zeng, Shuhao Zhang, Xinyi Liu, Mian Lu, and Zhao Zheng. In 2023 IEEE 39rd International Conference on Data Engineering (ICDE) 2023. [[code]](https://github.com/4paradigm/OpenMLDB/tree/stream) - [FEBench: A Benchmark for Real-Time Relational Data Feature Extraction](https://github.com/decis-bench/febench/blob/main/report/febench.pdf). Xuanhe Zhou, Cheng Chen, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqiang Chen. International Conference on Very Large Data Bases (VLDB) 2023. [[code]](https://github.com/decis-bench/febench). -- [A System for Time Series Feature Extraction in Federated Learning](https://dl.acm.org/doi/pdf/10.1145/3511808.3557176). Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, and Bingsheng He. 2022. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM) 2022. [[code]](https://github.com/4paradigm/tsfe). +- [A System for Time Series Feature Extraction in Federated Learning](https://dl.acm.org/doi/pdf/10.1145/3511808.3557176). Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, and Bingsheng He. 2022. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM) 2022. [[code]](https://github.com/4paradigm/tsfe). - [Optimizing in-memory database engine for AI-powered on-line decision augmentation using persistent memory](http://vldb.org/pvldb/vol14/p799-chen.pdf). Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-Fai Wong, Guoan Wu, Yuping Zhao, and Andy Rudoff. International Conference on Very Large Data Bases (VLDB) 2021. ## 13. [The User List](https://github.com/4paradigm/OpenMLDB/discussions/707) diff --git a/README_cn.md b/README_cn.md index 7ff8b3a0d3a..b4ac59aa280 100644 --- a/README_cn.md +++ b/README_cn.md @@ -144,7 +144,7 @@ OpenMLDB 的整体架构设计是为了达到特征平台从开发到部署的 ![wechat](docs/zh/about/images/wechat.png) ## 12. 学术论文 - +- [PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation](https://tonyskyzeng.github.io/downloads/PECJ_TR.pdf). Xianzhi Zeng, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, and Yuqiang Chen. International Conference on Management of Data (SIGMOD/PODS) 2024. - [Principles and Practices of Real-Time Feature Computing Platforms for ML](https://cacm.acm.org/magazines/2023/7/274061-principles-and-practices-of-real-time-feature-computing-platforms-for-ml/fulltext). Hao Zhang, Jun Yang, Cheng Chen, Siqi Wang, Jiashu Li, and Mian Lu. 2023. Communications of the ACM 66, 7 (July 2023), 77–78. - [Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB](docs/paper/scale_oij_icde2023.pdf). Hao Zhang, Xianzhi Zeng, Shuhao Zhang, Xinyi Liu, Mian Lu, and Zhao Zheng. In 2023 IEEE 39rd International Conference on Data Engineering (ICDE) 2023. [[code]](https://github.com/4paradigm/OpenMLDB/tree/stream) - [FEBench: A Benchmark for Real-Time Relational Data Feature Extraction](https://github.com/decis-bench/febench/blob/main/report/febench.pdf). Xuanhe Zhou, Cheng Chen, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqiang Chen. International Conference on Very Large Data Bases (VLDB) 2023. [[code]](https://github.com/decis-bench/febench).