Update README.md

Author: hh4ts

README.md

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 <img align="left" src="figs/weifan.jpg" width="80" height="100" style="margin-right: 20px; object-fit: cover; border-radius: 50%;">**[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. 
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-<img align="left" src="figs/huihe.png" width="80" height="100" style="margin-right: 20px; object-fit: cover; border-radius: 50%;">**[Hui He](https://scholar.google.com/citations?user=1IqAdRwAAAAJ&hl=zh-CN)** is currently a Ph.D. student in the School of Medical Technology at the Beijing Institute of Technology. Her research focuses on time series forecasting, time series anomaly detection, and foundation model pretrained on time series. She is also dedicated to integrating LLMs, frequency-domain learning, debiasing techniques, and probabilistic inference into time series analysis, thereby advancing efficient, interpretable, and scalable AI systems.
+<img align="left" src="figs/huihe.png" width="80" height="100" style="margin-right: 20px; object-fit: cover; border-radius: 50%;">**[Hui He](https://scholar.google.com/citations?user=1IqAdRwAAAAJ&hl=zh-CN)** is currently a Ph.D. student in the School of Medical Technology at the Beijing Institute of Technology. Her research focuses on forecasting, anomaly detection, and foundation models for time-series data. She is also dedicated to integrating LLMs, frequency-domain learning, debiasing techniques, and probabilistic inference into time series analysis, thereby advancing efficient, interpretable, and scalable AI systems.
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 <img align="left" src="figs/huixiong.png" width="80" height="100" style="margin-right: 20px; object-fit: cover; border-radius: 50%;">**[Hui Xiong](https://www.hkust-gz.edu.cn/people/hui-xiong/)** is a Chair Professor at Hong Kong University of Science and Technology (Guangzhou) and Associate Vice President for Knowledge Transfer. He have had the privilege of contributing extensively to the fields of artificial intelligence, machine learning, and data science, and he is recognized as an IEEE Fellow, AAAS Fellow, AAAI Fellow and ACM Distinguished Scientist for his work in advancing knowledge in these domains. Before his time at the Hong Kong University of Science and Technology, he was a distinguished professor at Rutgers, the State University of New Jersey, from 2007 to 2021. His accolades include the AAAI-2021 Best Paper Award, the 2018 Ram Charan Management Practice Award, as the Grand Prix winner from the Harvard Business Review, the 2017 IEEE ICDM Outstanding Service Award, the 2016 RBS Dean’s Research Professorship, the 2009 Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence, the ICDM-2011 Best Research Paper Award.