docs: Update publication (#3688)

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)

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).