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Yuki Ueno

Ph.D. Student
Arizona State University
yueno@asu.edu


About Me

I am a Data Visualization Ph.D. student at Arizona State University working with Chris Bryan.

I am interested in work at the intersection of GenAI, information visualization, and human-computer interaction.

Please refer to my CV for more information.

Research Interests

My research focuses on data visualization and human–computer interaction, particularly the design and development of AI-assisted visualization systems. I explore how generative AI can be integrated into interactive interfaces to support visualization authoring, visual data storytelling, and chart reconstruction from images.

News

  • [September 2026] My internship work, ChartRevive: Reconstructing Data Visualizations from Chart Images Using MLLM, has been accepted to the VIS x GenAI workshop at IEEE VIS 2026.
  • [August 2026] Our paper, VisCanvas: A Node-Based Interface for Exploratory Visualization Authoring with LLMs, has been accepted to IEEE VIS 2026 in Boston.
  • [July 2026] Our paper, Harnessing LLMs Without Surrendering Control: Delegation Boundaries in Visual Data Storytelling Authoring, has been accepted to the short paper track at IEEE VIS 2026.
  • [May 2026] I’m excited to start my internship at Eli Lilly and Company, where I’ll work on building a mixed-initiative system that integrates MLLM-based extraction with an interactive verification interface to reconstruct charts from images faster and more efficiently.
  • [April 2025] The Story of Wagyu received an Honorable Mention in the IEEE PacificVis Visual Storytelling Contest.

Publications

  1. VIS Workshop
    ChartRevive: Reconstructing Data Visualizations from Chart Images Using MLLM
    Yuki Ueno, Aditeya Pandey
    VIS × GenAI Workshop, IEEE VIS, 2026.
    PDF

  2. VIS
    VisCanvas: A Node-Based Interface for Exploratory Visualization Authoring with LLMs
    Yuki Ueno, Bretho Danzy III, Zhuojun Jiang, Chris Bryan
    IEEE VIS, 2026.
    PDF

  3. VIS Shortpaper
    Harnessing LLMs Without Surrendering Control: Delegation Boundaries in Visual Data Storytelling Authoring
    Zhuojun Jiang, Yuki Ueno, Chris Bryan
    IEEE VIS Shortpaper, 2026.
    PDF

  4. InfoVis
    ASAP: Visual analytics for identifying and analyzing image patterns in AI-generated images
    Jinbin Huang, Yuki Ueno, Chen Chen, Aditi Mishra, Bum Chul Kwon, Zhicheng Liu, Chris Bryan
    Information Visualization, 2026.
    PDF

  5. VIS Workshop
    VisAider: AI-assisted context-aware visualization support for data presentations
    Kentaro Takahira, Yuki Ueno
    MERCADO Workshop, IEEE VIS, 2025.
    PDF

  6. JoV
    Do boxes affect exploration behavior and performance in group-in-a-box layouts?
    Yuki Ueno, Hiroaki Natsukawa, Koji Koyamada
    Journal of Visualization, 2024.
    PDF Best Paper

  7. PacificVis
    User Evaluation of Group-in-a-Box Variants
    Nozomi Aoyama, Yosuke Onoue, Yuki Ueno, Hiroaki Natsukawa, Koji Koyamada
    IEEE Pacific Visualization Symposium (PacificVis), 2019.
    PDF

  8. VI
    Exploration behavior of group-in-a-box layouts
    Yuki Ueno, Hiroaki Natsukawa, Nozomi Aoyama, Koji Koyamada
    Visual Informatics, 2019.
    PDF

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