The analysis of large-scale software is difficult in the absence of supporting tools, due to the sheer size and complexity of today’s systems. We present CODECITY, a language-independent interactive 3D visualization tool for the analysis of large object-oriented software systems. Using a city metaphor, it depicts classes as buildings and packages as districts of a “software city”. We start pres...

We study a number of embedded DSLs for autonomous ordinary differential equations (autonomous ODEs) in Haskell. A naive implementation based on the lazy tower of derivatives is straightforward but has serious time and space leaks due to the loss of sharing when handling cyclic and infinite data structures. In seeking a solution to fix this problem, we explore a number of DSLs ranging from shall...

With the development of biotechnology, high-throughput studies on protein-protein, protein-gene, and gene-gene interactions become possible and attract remarkable attention. To explore the interactions in dynamic gene regulatory networks, we propose a single-index ordinary differential equation (ODE) model and develop a variable selection procedure. We employ the smoothly clipped absolute devia...

Video generation models often operate under the assumption of fixed frame rates, which leads to suboptimal performance when it comes handling flexible rates (e.g., increasing rate more dynamic portion video as well missing frames). To resolve restricted nature existing models' ability handle arbitrary timesteps, we propose continuous-time by combining neural ODE (Vid-ODE) with pixel-level proce...