Update about.md

_pages/about.md

@@ -80,17 +80,17 @@ Proceedings of the 19th International Conference on Mobility, Sensing and Networ
 - *2018.09 - 2022.06*, [Department of Computer Science](https://cs.njupt.edu.cn/), [Nanjing University of Posts and Telecommunications](https://www.njupt.edu.cn/). 
 
 # 📈 Projects
-- *2023.01 - 2023.07*, **Accelerating Large-Scale Supply Chain Problem Solving**
-  *Huawei Technologies Co., Ltd., Shenzhen, China*
+- *2023.01 - 2023.07*, **Accelerating Large-Scale Supply Chain Problem Solving**  
+  *[Huawei](https://www.huawei.com/) Technologies Co., Ltd., Shenzhen, China*
   - As the only student member, developed a solver acceleration method based on problem reduction for large-scale (integer) linear programming, predited interges and identified active constraints to reduce the number of redundant constraints for rapid solution.
   - Reduced solution times to milliseconds on Huawei's supply chain scheduling instances while ensuring 99% fidelity.
   - By integrating the solver's warm start technology, achieved over ten times speed improvement on average compared to CPLEX under the same solution gap, winning the Huawei Spark Award - Value Prize.
-- *2022.09 - 2022.12*, **Optimization of Data Center Cooling System**
-  *China Mobile Communications Group Co.,Ltd, Wuxi, China*
+- *2022.09 - 2022.12*, **Optimization of Data Center Cooling System**  
+  *[China Mobile](https://10086.cn/) Communications Group Co.,Ltd, Wuxi, China*
   - Designed a DRL-based control algorithm for data center cooling systems. Trained a thermodynamic model of the cooling system using GNN and employed DDPG combined with imitation learning to train cooling system control strategies.
   - Tests showed a total power usage effectiveness (PUE) reduction of 35% compared to the original scheme, successfully deployed at the China Mobile Wuxi Data Center.
 - *2020.06 - 2022.06*, **Anomaly Detection and Root Cause Localization in Intelligent Operations**  
-  *State Key Laboratory of Smart Grid Protection and Operation Control, NARI Group, Nanjing, China*
+  *State Key Laboratory of Smart Grid Protection and Operation Control, [NARI](http://www.sgepri.sgcc.com.cn/) Group, Nanjing, China*
   - Designed a suite of anomaly detection algorithms based on statistical modeling, machine learning, and deep learning for multivariate time series anomaly detection. Techniques applied include GNN, Transformer, GAN, Mask, etc.
   - Contributed to two papers and one patent, with both papers being accepted by SCI-JCR Q2 journals.