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Yao Wang

PhD Student

Education

PhD in Computer Science

University of Stuttgart
2020 - now

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 PhD student at University of Stuttgart since September 2020, and expected to graduate in September-December 2024. I am open to research and software development positions in industry, ideally in Germany.

Experiences

PhD Student

2020 - Present
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.

  • 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), early access, pp. 1-13, 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

    Knowledge Bases

    Eye Tracking

    Deep Learning

    Computer Vision

    Information Visualization

    Human Computer Interaction

    Natural Language Processing

    Git

    Agile software development

    Programming Languages

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

    Javascript (Vue.js), CSS, HTML

    Matlab

    C++

    Bash

    Java

    Php