Dae Hyun Kim — accepted AI-conference papers

2026

CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design

Daeheon Jeong, Seoyeon Byun, Kihoon Son, Dae Hyun Kim, Juho Kim

AAAI 2026technical

User interface (UI) design is an iterative process in which designers progressively refine their work with design software such as Figma or Sketch. Recent advances in vision–language models (VLMs) with tool invocation suggest these models can operate design software to edit a UI design through itera

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2022

Bayesian Optimization over Permutation Spaces

Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim

AAAI 2022technical

Optimizing expensive to evaluate black-box functions over an input space consisting of all permutations of d objects is an important problem with many real-world applications. For example, placement of functional blocks in hardware design to optimize performance via simulations. The overall goal is…

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