diff --git a/README.md b/README.md
index dbe081fc820..a097989cdcf 100644
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@@ -156,6 +156,7 @@ We really appreciate the contribution from our community.
 
 ## 12. Publications
 
+- [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).
diff --git a/README_cn.md b/README_cn.md
index 4e1929a8c31..aeb7595a1a3 100644
--- a/README_cn.md
+++ b/README_cn.md
@@ -145,6 +145,7 @@ OpenMLDB 的整体架构设计是为了达到特征平台从开发到部署的
 
 ## 12. 学术论文
 
+- [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).