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<img align="left" src="figs/qingsongwen.png" width="80" height="100" style="margin-right: 20px; object-fit: cover; border-radius: 50%;">**[Qingsong Wen](https://sites.google.com/site/qingsongwen8/)** 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.
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<img align="left" src="figs/ruiliu.png" width="80" height="100" style="margin-right: 20px; object-fit: cover; border-radius: 50%;">**[Rui Liu](rayliu@ku.edu)** is currently a Ph.D. student in the Department of Electrical Engineering and Computer Science at the University of Kansas, USA, under the supervision of Dr. Dongjie Wang. His research focuses on tabular data mining and tabular foundation models. He is also dedicated to integrating LLMs, federated learning, and causal inference into tabular data learning, aiming to advance efficient, interpretable, and scalable data science systems.
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<img align="left" src="figs/ruiliu.png" width="80" height="100" style="margin-right: 20px; object-fit: cover; border-radius: 50%;">**[Rui Liu](https://www.linkedin.com/in/rui-liu-12a72b198/?locale=en_US)** is currently a Ph.D. student in the Department of Electrical Engineering and Computer Science at the University of Kansas, USA, under the supervision of Dr. Dongjie Wang. His research focuses on tabular data mining and tabular foundation models. He is also dedicated to integrating LLMs, federated learning, and causal inference into tabular data learning, aiming to advance efficient, interpretable, and scalable data science systems.
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