We review the quadratic convex reformulation approach for quadratic programs with integer variables. We also show the recent extensions to quadratically constrained programs and to the case of mixed-integer variables. In all these extensions, the global framework is the same: in a preprocessing step, we compute a tight equivalent reformulation of the original quadratic program that we deduce from the solution of its SDP relaxation. The equivalent reformulation is easier to solve because its continuous relaxation is a convex problem. Then, we solve the equivalent reformulation by standard BB.