Update README.md

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README.md

@@ -65,7 +65,7 @@ frequency-based methods for time series. His current research explores the integ
 
 <img align="left" src="figs/qizhang.jpg" width="80" style="margin-right: 20px;">**[Qi Zhang](https://sites.google.com/view/qizhang-bit-uts)** is currently a associate professor at Tongji University. His research focuses on time series analysis, frequency-domain neural network, and general AI. Qi Zhang has published 60+ top-rank papers. He has also delivered 4 tutorials on data mining, recommender systems. Additionally, he has experience as a teaching assistant, teaching courses on Machine Learning and the Frontier of Computer Science at Tongji University.
 
-<img align="left" src="figs/weifan.png" width="80" style="margin-right: 20px;">**[Wei Fan](https://weifan.site)** is currently working as a Postdoctoral Researcher in the Medical Sciences Division at the University of Oxford, UK. His research focuses on data-centric AI, time series modeling, and spatial-temporal data mining. He is also dedicated to applying these methods to solve real-world data science applications, such as healthcare, transportation, and energy. 
+<img align="left" src="figs/weifan.jpg" width="80" style="margin-right: 20px;">**[Wei Fan](https://weifan.site)** is currently working as a Postdoctoral Researcher in the Medical Sciences Division at the University of Oxford, UK. His research focuses on data-centric AI, time series modeling, and spatial-temporal data mining. He is also dedicated to applying these methods to solve real-world data science applications, such as healthcare, transportation, and energy. 
 
 <img align="left" src="figs/qingsongwen.png" width="80" style="margin-right: 20px;">**[Qingsong Wen](qingsongedu@gmail.com)** is currently the Head of AI & Chief Scientist at Squirrel Ai Learning. Before that, he worked at Alibaba, Qualcomm, Marvell, etc., and received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology,  USA. His research interests include machine learning, data mining, and signal processing, especially AI for Time Series (AI4TS), LLM & AI Agent. Currently, he serves as Co-Chair of Workshop on AI for Time Series (AI4TS @ KDD, ICDM, SDM, AAAI, IJCAI). He also serves as Area Chair of NeurIPS, ICML, KDD, IJCAI, etc.