In this paper, we present primal-dual interior-point methods (IPMs) for convex quadratic programming (CQP) based on a new twice parameterized kernel function (KF) with a hyperbolic barrier term. To our knowledge, this is the first KF with a twice parameterized hyperbolic barrier term. By using some conditions and simple analysis, we derive the currently best-known iteration bounds for large- and small-update methods, namely, O(nlognlognϵ) and O(nlognϵ), respectively, with special choices of the parameters. Finally, some numerical results regarding the practical performance of the new proposed KF are reported.