docs: ✏️ update citation information

Author: zezhishao

CITATION.CFF

@@ -1,5 +1,5 @@
 cff-version: 1.2.0
-message: If you use this software, please cite both the article from preferred-citation and the software itself.
+message: "If you use this work, please cite it as below."
 authors:
   - family-names: Shao
     given-names: Zezhi
@@ -15,15 +15,19 @@ authors:
     given-names: Zhao
   - family-names: Yao
     given-names: Di
+  - family-names: Sun
+    given-names: Tao
   - family-names: Jin
     given-names: Guangyin
   - family-names: Cao
     given-names: Xin
-  - family-names: Cong
-    given-names: Gao
-title: 'Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis'
-version: 1.0.0
-date-released: '2023-08-23'
+  - family-names: Gao
+    given-names: Cong
+  - family-names: Jensen
+    given-names: Christian S.
+  - family-names: Cheng
+    given-names: Xueqi
+title: 'Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis'
 preferred-citation:
   authors:
     - family-names: Shao
@@ -40,14 +44,22 @@ preferred-citation:
       given-names: Zhao
     - family-names: Yao
       given-names: Di
+    - family-names: Sun
+      given-names: Tao
     - family-names: Jin
       given-names: Guangyin
     - family-names: Cao
       given-names: Xin
-    - family-names: Cong
-      given-names: Gao
-  title: 'Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis'
+    - family-names: Gao
+      given-names: Cong
+    - family-names: Jensen
+      given-names: Christian S.
+    - family-names: Cheng
+      given-names: Xueqi
+  title: 'Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis'
   type: article
-  year: '2023'
-  conference: {}
-  publisher: {}
+  year: '2024'
+  doi: "10.1109/TKDE.2024.3484454"
+  url: "https://ieeexplore.ieee.org/document/10726722"
+  publisher: "IEEE"
+  journal: "IEEE Transactions on Knowledge and Data Engineering"

README.md

@@ -52,12 +52,13 @@ You can find detailed tutorials in [Getting Started](./tutorial/getting_started.
 > If you find this repository helpful for your work, please consider citing the following benchmarking paper:
 >
 > ```LaTeX
-> @article{shao2023exploring,
->    title={Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis},
->    author={Shao, Zezhi and Wang, Fei and Xu, Yongjun and Wei, Wei and Yu, Chengqing and Zhang, Zhao and Yao, Di and Jin, Guangyin and Cao, Xin and Cong, Gao and others},
->    journal={arXiv preprint arXiv:2310.06119},
->    year={2023}
->  }
+> @article{shao2024exploring,
+>  title={Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis},
+>  author={Shao, Zezhi and Wang, Fei and Xu, Yongjun and Wei, Wei and Yu, Chengqing and Zhang, Zhao and Yao, Di and Sun, Tao and Jin, Guangyin and Cao, Xin and others},
+>  journal={IEEE Transactions on Knowledge and Data Engineering},
+>  year={2024},
+>  publisher={IEEE}
+> }
 > ```
 >
 > 🔥🔥🔥 ***The paper has been accepted by IEEE TKDE! You can check it out [here](https://arxiv.org/abs/2310.06119).***  🔥🔥🔥
@@ -233,7 +234,7 @@ BasicTS support a variety of datasets, including ***spatial-temporal forecasting
 See the paper *[Exploring Progress in Multivariate Time Series Forecasting:
 Comprehensive Benchmarking and Heterogeneity Analysis](https://arxiv.org/pdf/2310.06119.pdf).*
 
-## Contributors ✨
+## ✨ Contributors
 
 Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
 
@@ -283,9 +284,9 @@ BasicTS is developed based on [EasyTorch](https://github.com/cnstark/easytorch),
 
 ## 📧 Contact
 
-Official Discord Server:
+We invite you to join our official community to access comprehensive technical support.
 
-https://discord.gg/jkjGf9Hz
+Official Discord Server: [Click here to join our Discord community](https://discord.gg/jkjGf9Hz)
 
 Official WeChat Group:
 

README_CN.md

@@ -53,12 +53,13 @@ BasicTS 一方面通过 **统一且标准化的流程**，为热门的深度学
 > 如果本项目对您有用，请考虑引用下面的论文:
 >
 > ```LaTeX
-> @article{shao2023exploring,
->    title={Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis},
->    author={Shao, Zezhi and Wang, Fei and Xu, Yongjun and Wei, Wei and Yu, Chengqing and Zhang, Zhao and Yao, Di and Jin, Guangyin and Cao, Xin and Cong, Gao and others},
->    journal={arXiv preprint arXiv:2310.06119},
->    year={2023}
->  }
+> @article{shao2024exploring,
+>  title={Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis},
+>  author={Shao, Zezhi and Wang, Fei and Xu, Yongjun and Wei, Wei and Yu, Chengqing and Zhang, Zhao and Yao, Di and Sun, Tao and Jin, Guangyin and Cao, Xin and others},
+>  journal={IEEE Transactions on Knowledge and Data Engineering},
+>  year={2024},
+>  publisher={IEEE}
+> }
 > ```
 >
 > 🔥🔥🔥 ***该论文已被IEEE TKDE录用！你可以在这里[查看论文](https://arxiv.org/abs/2310.06119)。*** 🔥🔥🔥
@@ -233,7 +234,7 @@ BasicTS 支持多种类型的数据集，涵盖时空预测、长序列预测及
 
 请参阅论文 *[多变量时间序列预测进展探索：全面基准评测和异质性分析](https://arxiv.org/pdf/2310.06119.pdf)*。
 
-## 贡献者 ✨
+## ✨ 贡献者
 
 感谢这些优秀的贡献者们 ([表情符号指南](https://allcontributors.org/docs/en/emoji-key))：
 
@@ -283,10 +284,10 @@ BasicTS 是基于 [EasyTorch](https://github.com/cnstark/easytorch) 开发的，
 
 ## 📧 联系我们
 
-官方Discord Server:
-
-https://discord.gg/jkjGf9Hz
+欢迎加入我们的官方社区，在这里您可以获取更多技术支持，与志同道合的伙伴交流，共同探讨领域内的最新研究进展。
 
 官方微信群:
 
 ![wechat](assets/BasicTS-wechat-cn.jpg)
+
+官方Discord频道: [点击加入我们的 Discord 社区](https://discord.gg/jkjGf9Hz)