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These method are powerful in the domain with both continuous and discrete values (Hybrid Model), but they are too computation-expensive to be applied to real word application when large number of variables are involved.\n \n-### Sample Publications\n+In our work, we are trying to combine continuous inference with lifted inference to improve the efficiency so that it can be applied into real word task such as early detection of Alzehmer's Disease through doing inference on brain fMRI features.\n+\n+*[Collaborators: **Prof. Nicholas Ruozzi** - University of Texas at 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