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README.md

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-# Visual Informatics Group @ University of Texas at Austin
+# Visual Informatics Group @ University of Texas at Austin ([VITA-Group](https://vita-group.github.io/))
 
-At VITA group, we have unusually broad, and forever-evolving research interests spanning from the theory to the application aspects of machine learning (ML). Our current "research keywords" include, but are not limited to: sparsity (from classical optimization to modern neural networks); efficient training, inference or transfer (especially, of large foundation models); robustness and trustworthiness; learning to optimize (L2O); generative AI; graph learning, and more. 
+At VITA group, we have unusually broad, and forever-evolving research interests spanning from the theory to the 
+application aspects of machine learning (ML). Our current "research keywords" include, but are not limited to: 
+sparsity (from classical optimization to modern neural networks); efficient training, inference or transfer 
+(especially, of large foundation models); robustness and trustworthiness; learning to optimize (L2O); 
+generative AI; graph learning, and more. 
 
 
 ## Compressed LLM Model Zone