Ryo Ishiyama

Ph.D student @ Kyushu University

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I am currently a Ph.D. student at the Graduate Graduate School of Information Science and Electrical Engineering, Kyushu University, supervised by Prof. Seiichi Uchida. I’m studying deep learning, computer vision at Human Interface Laboratory. My research interests lie in symbol recognition and its applications, particularly focusing on visual symbols such as characters. I explore the potential of deep learning for symbol recognition.

news

May 01, 2026 I am pleased to share that my research proposal was selected for the 2026 Research Grant Program of the Tateisi Science and Technology Foundation.
Nov 30, 2025 Our work Monokko has been selected as a Finalist’s Award in the Entertainment Division at the Asia Digital Art Award 2025 Winners.
Jun 07, 2025 Our paper Computer-Aided Multi-Stroke Character Simplification by Stroke Removal has been accepted at International Conference on Document Analysis and Recognition (ICDAR2025@China).

latest posts

Latest publication

  1. ICDAR
    Ambiguity-Controlled Handwritten Mathematical Expression Generation via Harmonized Dual-Conditional Guidance
    Ryo Ishiyama, and Takaya Kawakatsu
    In Proceedings of the 20th International Conference on Document Analysis and Recognition (ICDAR), 2026
    Accepted
  2. arxiv
    Symbol-Aware Reasoning with Masked Discrete Diffusion for Handwritten Mathematical Expression Recognition
    Takaya Kawakatsu, and Ryo Ishiyama
    arXiv preprint, 2026