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Yao Wang

Postdoc Researcher

Education

PhD in Computer Science

University of Stuttgart
2020 - 2024

M.Sc. in Computer Software and Technology

Peking University
2017 - 2020

B.Sc. in Intelligence Science and Technology

Peking University
2013 - 2017

Languages

  • Chinese (Native)
  • English (Professional)
  • German (B1-B2)

Interests

Career Profile

I am a Postdoc researcher at the University of Stuttgart. I did my PhD during September 2020 - November 2024. I am open to research-related positions in both industry and acedemic fields.

Experiences

PhD Student

2020 - 2024
University of Stuttgart

My PhD topic is visual attention modelling for optimization of information visualizations, which integrated to Project A07 in SFB-TRR 161. My first research goal is acquiring large-scale humanlike attention data without eye tracking equipment on information visualizations. I turn to crowdsourcing approaches (webcam or mouse-clicking) or gaze data synthesis by generative or cognitive models. My second research goal is to computationally model human visual behaviour (saliency map, scanpath) under different tasks (top-down) in information visualizations. My third research goal is to develop a task-driven computational model to optimize information visualisation by maximising metrics (e.g. recallability, gaze uncertainty).

Publications

See my Google Scholar page for full publication list.
§: Equal contribution.

  • ChartQC: Question Classification from Human Attention Data on Charts
    • T. Nishiyasu§, T. Kostorz§, Y. Wang, Y. Sato, A. Bulling
    2025 Symposium on Eye Tracking Research and Applications (ETRA), pp. 1-6, 2025
  • RelEYEance: Gaze-based Assessment of Users’ AI-reliance at Run-time
    • Z. Wu, Y. Wang, M. Langer, A. Feit
    Proc. ACM on Human-Computer Interaction (PACM HCI), pp. 1-18, 2025
  • Chartist: Task-driven Eye Movement Control for Chart Reading
    • D. Shi, Y. Wang, Y. Bai, A. Bulling, A. Oulasvirta
    Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1-14, 2025
  • VisRecall++: Analysing and Predicting Recallability of Information Visualisations from Gaze Behaviour
    • Y. Wang, Y. Jiang, Z. Hu, C. Ruhdorfer, M. Bâce, A. Bulling
    Proc. ACM on Human-Computer Interaction (PACM HCI), pp. 1-18, 2024
  • Saliency3D: A 3D Saliency Dataset Collected on Screen
    • Y. Wang§, Q. Dai§, M. Bâce, K. Klein, A. Bulling
    2024 Symposium on Eye Tracking Research and Applications (ETRA), No. 18, pp. 1-9, 2024
  • SalChartQA: Question-driven Saliency on Information Visualisations
    • Y. Wang, W. Wang, A. Abdelhafez, M. Elfares, Z. Hu, M. Bâce, A. Bulling
    Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1-14, 2024
  • Scanpath Prediction on Information Visualisations
    • Y. Wang, M. Bâce, A. Bulling
    IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 30, no. 7, pp. 3902-3914, 6 Feb. 2023
  • VisRecall: Quantifying Information Visualisation Recallability via Question Answering
    • Y. Wang, C. Jiao, M. Bâce, A. Bulling
    IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 28, no. 12, pp. 4995-5005, 1 Dec. 2022
  • Impact of Gaze Uncertainty on AOIs in Information Visualisations
    • Y. Wang§, M. Koch§, M. Bâce, D. Weiskopf, A. Bulling
    2022 Symposium on Eye Tracking Research and Applications (ETRA), No. 60, pp. 1-6, 2022
  • Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images
    • Z. Wei§, Y. Wang§, H. Yi, Y. Chen, G. Wang
    Applied Sciences, 10(4), pp. 1275, 2020
  • Large-scale Structure from Motion with Semantic Constraints of Aerial Images
    • Y. Chen§, Y. Wang§, P. Lu, Y. Chen, G. Wang
    Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2018: 347-359
  • Sobel Heuristic Kernel for Aerial Semantic Segmentation
    • T. Hu, Y. Wang, Y. Chen, P. Lu, H.Wang, G. Wang
    25th IEEE International Conference on Image Processing (ICIP), 2018: 3074-3078

    Updates

    I defended my PhD with summa cum laude on November 2024!

    Andreas Bulling Team (previous and now) at ETRA 2024 in Glasgow.

    Stuttgarters at CHI 2024 in Hawaii.

    PETMEI workshop at ETRA 2023 in Tübingen.

    I served as a student volunteer at CHI 2023 in Hamburg. Photo with Aalto crews.

    I enjoyed skiing during my research stay at Aalto University, Finland.

    I visited Seattle for ETRA 2022.

    I visited Gran Canaria during Christmas in 2021.

    Knowledge Bases

    Eye Tracking, Human Visual Attention

    Deep Learning

    Computer Vision

    Information Visualization

    Human Computer Interaction

    VR/AR

    Natural Language Processing

    Programming Languages

    Python (PyTorch, Keras, Pandas, Django...)

    Javascript (Vue.js), CSS, HTML

    Git

    Matlab

    C++

    Bash

    Java

    PhP