About Me

I am a Ph.D. candidate at the State Key Lab of CAD&CG, Zhejiang University, and a member of the Interactive Data Group (ZJUIDG), supervised by Prof. Dazhen Deng and Prof. Yingcai Wu. My research focuses on AI-assisted visual analytics, with a particular interest in using large language models (LLMs) to support data understanding and visualization generation.

Currently, I am a visiting scholar at CMU, working with Prof. Sherry Wu in the WINE Lab.

I expect to graduate in 2027 and am actively seeking job opportunities. Please feel free to reach out!

News

  • 2026-07Our paper "ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language" received the TVCG 2025 Best Paper Award!
  • 2026-071 paper accepted to IEEE VIS 2026.
  • 2026-061 paper accepted to ACM UIST 2026.
  • 2026-04I'm thrilled to start my visit at CMU, working with Prof. Sherry Wu!
  • 2026-012 papers, NoteFlow and ExChart, were accepted to ACM CHI 2026.

Publications

2026

  • NoteFlow: Leveraging Charts as Sight Glasses for Consistent and Continuous Data Flow Tracing

    NoteFlow: Leveraging Charts as Sight Glasses for Consistent and Continuous Data Flow Tracing

    Yuan Tian, Dazhen Deng, Sen Yang, Huawei Zheng, Bowen Shi, Kai Xiong, Xinjing Yi, and Yingcai Wu

    CHI 2026

  • Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework

    Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework

    Yuchen He, Peizhi Ying, Liqi Cheng, Kuilin Peng, Yuan Tian, Dazhen Deng, Yingcai Wu

    CHI 2026

2025

  • ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs

    ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs

    Yuan Tian, Chuhan Zhang, Xiaotong Wang, Sitong Pan, Weiwei Cui, Haidong Zhang, Dazhen Deng, Yingcai Wu

    UIST 2025

2024

  • ChartGPT: Leveraging LLMs to Generate Charts From Abstract Natural Language

    ChartGPT: Leveraging LLMs to Generate Charts From Abstract Natural Language

    Yuan Tian, Weiwei Cui, Dazhen Deng, Xinjing Yi, Yurun Yang, Haidong Zhang, and Yingcai Wu

    IEEE Transactions on Visualization and Computer Graphics

  • Relation-driven Query of Multiple Time Series

    Relation-driven Query of Multiple Time Series

    Shuhan Liu, Yuan Tian, Zikun Deng, Weiwei Cui, Haidong Zhang, Di Weng, and Yingcai Wu

    IEEE Transactions on Visualization and Computer Graphics

2023

  • A Survey of Urban Visual Analytics: Advances and Future Directions

    A Survey of Urban Visual Analytics: Advances and Future Directions

    Zikun Deng, Di Weng, Shuhan Liu, Yuan Tian, Mingliang Xu, and Yingcai Wu

    Computational Visual Media

2022

  • ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants

    ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants

    Shuhan Liu, Di Weng, Yuan Tian, Zikun Deng, Haoran Xu, Xiangyu Zhu, Honglei Yin, Xianyuan Zhan, and Yingcai Wu

    IEEE Transactions on Visualization and Computer Graphics (VIS 2022)

PrePrint

  • CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation

    CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation

    Dazhen Deng, Sen Yang, Yuchen He, Yuan Tian, Yingcai Wu

    arXiv preprint

Experience

  • Ph.D. Candidate in Computer Science and Technology

    State Key Lab of CAD & CG, Zhejiang University

    2022.9 - Present

  • Research Intern

    Microsoft Research Asia (MSRA)

    2022.12 - 2023.12

  • B.Eng. in Computer Science and Technology

    Chu Kochen Honors College, Zhejiang University

    2018.9 - 2022.6

Services

  • 2024-Present, Reviewer for IEEE PacificVis Journal Track, Computers & Graphics

Teaching

  • Summer 2024-2025, TA in the International Visualization Summer School, ZJU
  • Summer 2023, Coordinator & TA in the International Visualization Summer School, ZJU
  • Winter 2023, Coordinator & TA in Cross Media Visualization and Information Visualization, ZJU