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

Oct 29, 2026 Our work Monokko: XR Worldbuilding with Object Characters has been accepted to the XR program at SIGGRAPH Asia 2026 (Kuala Lumpur, December 2026).
Oct 20, 2026 My research proposal “視覚符号の復号最適化” has been selected for the JST ACT-X research area “AI 共生社会を拓くサイバーインフラストラクチャ” (Strategic Basic Research Programs, Japan Science and Technology Agency).
Sep 25, 2026 Gave a hands-on LLM tutorial with Masaki Akiba at the workshop “育種学のための大規模言語モデル入門”, 150th Meeting of the Japanese Society of Breeding. [Report]
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.

Latest Publications

  1. SIGGRAPH Asia
    Monokko: XR Worldbuilding with Object Characters
    Taisei Goto, Toshiro Otsuka, and Ryo Ishiyama
    In SIGGRAPH Asia 2026 XR, 2026
    Accepted
  2. 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
  3. ECCV
    Symbol-Aware Reasoning with Masked Discrete Diffusion for Handwritten Mathematical Expression Recognition
    Takaya Kawakatsu, and Ryo Ishiyama
    In Proceedings of the European Conference on Computer Vision (ECCV), 2026