Update README.md

README.md

@@ -17,7 +17,7 @@ tags:
 
 - **Repository (WiCount subdirectory):** [CSI-BERT2/WiCount at main · RS2002/CSI-BERT2](https://github.com/RS2002/CSI-BERT2/tree/main/WiCount)
 - **Code:** [https://github.com/RS2002/CSI-BERT2](https://github.com/RS2002/CSI-BERT2)
-- **Paper:** [CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing](https://arxiv.org/abs/2412.06861)
+- **Paper:** [CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing](https://arxiv.org/abs/2412.06861), IEEE Transactions on Mobile Computing (TMC), 2025
 - **Contact:** [[email protected]](mailto:[email protected])  
 - **Collectors:** Zijian Zhao, Tingwei Chen  
 - **Organization:** AI-RAN Lab (hosted by Prof. Guangxu Zhu) in SRIBD, CUHK(SZ)  
@@ -134,10 +134,14 @@ The dataset does not contain personally identifiable information, as it focuses
 ## Citation
 
 ```bibtex
-@article{zhao2024mining,
-  title={CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing},
+@ARTICLE{11278110,
   author={Zhao, Zijian and Meng, Fanyi and Lyu, Zhonghao and Li, Hang and Li, Xiaoyang and Zhu, Guangxu},
-  journal={arXiv preprint arXiv:2412.06861},
-  year={2024}
-}
+  journal={IEEE Transactions on Mobile Computing}, 
+  title={CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing}, 
+  year={2025},
+  volume={},
+  number={},
+  pages={1-17},
+  keywords={Wireless communication;Sensors;Wireless sensor networks;Predictive models;Wireless fidelity;Training;Adaptation models;Packet loss;Data models;OFDM;Channel statement information (CSI);CSI prediction;CSI classification;wireless communication;wireless sensing},
+  doi={10.1109/TMC.2025.3640420}}
 ```