About Us

Following the recent development of artificial intelligence (AI) technology, there have been growing research interests and opportunities in applying AI to enhance data visualizations and enrich the way people engage with data.

We, the AI4VIS research team in HKUST VisLab, are exploring AI-powered techniques for modelling, authoring, analysing, and interacting with data visualizations. In vision of formalizing visualizations as an emerging data format, we apply advanced AI techniques to visualizations. We have diverse research interests such as visualization recommendation, information extraction from visualizations and automated layouting.

News

  • WaitGPT was accepted in ACM UIST!
  • One paper was accepted in IEEE VIS! Check out to learn how good are VLM in detecting misleading vis?
  • Congrats to Haotian for winning the Honorable Mention Award at ACM CHI 2024!
  • Check out on our 4 accepted papers for CHI’2024 :-D
  • Wakey-Wakey was accepted in ACM UIST! Make your cute animated text XD
  • InkSight was accepted in IEEE VIS! Start to document your findings with ease!
  • DMiner was accepted in IEEE TVCG! Read more about dashboard mining.
  • Notable was accepted in ACM CHI.
  • Articles

    2024

    WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code Visualization

    How Good (Or Bad) Are LLMs at Detecting Misleading Visualizations?

    PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis

    Yue Yu, Leixian Shen, Fei Long, Huamin Qu, Hao Chen

    From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems

    Companion Workshop in IEEE VIS Conference on Data Storytelling in an Era of Generative AI (Gen4DS). 2024.

    Reviving Static Charts into Live Charts

    Lu Ying, Yun Wang, Haotian Li, Shuguang Dou, Haidong Zhang, Xinyang Jiang, Huamin Qu, Yingcai Wu

    Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration

    Best Paper Honorable Mention

    OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through Outlines

    Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Designs

    2023

    InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational Notebooks

    OldVisOnline: Curating a Dataset of Historical Visualizations

    Yu Zhang, Ruike Jiang, Liwenhan Xie, Yuheng Zhao, Can Liu, Tianhong Ding, Siming Chen, Xiaoru Yuan

    AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data

    Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling

    2022

    ComputableViz: Mathematical Operators as a Formalism for Visualization Processing and Analysis

    DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning

    2021

    MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation

    KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation

    Best Paper Honorable Mention in IEEE VIS Conference

    InfoColorizer: Interactive Recommendation of Color Palettes for Infographics

    Linping Yuan, Ziqi Zhou, Jian Zhao, Yiqiu Guo, Fan Du, Huamin Qu

    2020

    MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework

    2019

    Towards Automated Infographic Design: Deep Learning-based Auto-Generation of Extensible Timeline

    2018

    Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach

    Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa, Huamin Qu

    Current Members

    Leo Yu-Ho Lo
    PhD Candidate
    Linping Yuan
    PhD Candidate
    Yanna Lin
    PhD Candidate
    Liwenhan Xie
    PhD Candidate
    Yuzhe Jiang
    PhD Candidate
    Leixian Shen
    PhD Student
    Yue Yu
    MPhil Student

    Alumni

    Haotian Li
    MSRA
    Researcher
    Wai Tong
    TAMU
    AP
    Aoyu Wu
    Harvard
    Postdoc
    Xinhuan Shu
    Newcastle Univ.
    AP
    Yun Wang
    MSRA
    Senior Researcher
    Weiwei Cui
    MSRA
    Senior Researcher

    Collaborators

    Grants & Funding

    "An Integrated Framework for Extracting and Utilizing Information from Data Visualizations in Digital Documents", awarded by Hong Kong Research Grants Concil — General Research Fund: 16210722 (1,039,978 HKD).