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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.

  • 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
  • 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
  • VisRecall++: Analysing and Predicting Recallability of Information Visualisations from Gaze Behaviour
    • Y. Wang, Y. Jiang, Z. Hu, C. Ruhdorfer, M. Bâce, A. Bulling
    Proceedings of ACM on Human-Computer Interaction (PACM HCI), 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.

    I presented my paper 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