publications

2026

1. Preprint

   Tabular Numeric Stretch Transformation

   Zihao Ye, Juyong Kim, Johnna Sundberg, and 2 more authors

   Under review, 2026

   Under review at NeurIPS 2026

   ABSTRACT arXiv

   We introduce the stretch transformation framework, which formulates numeric feature preprocessing for tabular data as an optimization problem over the smoothness of the target function. We study an unsupervised variant that uniformly redistributes feature density, and a supervised variant that optimizes target-aware transformations by minimizing the Dirichlet energy of the target function in the transformed space. We establish connections to piecewise linear encoding, empirical CDF transformation, and target encoding, and evaluate the framework across 38 datasets from the TALENT benchmark.

2024

1. ICIP

   Improving Image de-raining Models using Reference-guided Transformers

   Zihao Ye, Jaehoon Cho, and Changjae Oh

   IEEE International Conference on Image Processing, 2024

   ABSTRACT arXiv PDF Blog Code Poster

   Image de-raining is a critical task in computer vision to improve visibility and enhance the robustness of outdoor vision systems. While recent advances in de-raining meth- ods have achieved remarkable performance, the challenge remains to produce high-quality and visually pleasing de- rained results. In this paper, we present a reference-guided de-raining filter, a transformer network that enhances de- raining results using a reference clean image as guidance. We leverage the capabilities of the proposed module to further refine the images de-rained by existing methods. We vali- date our method on three datasets and show that our module can improve the performance of existing prior-based, CNN- based, and transformer-based approaches.