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Biography

Yao Wang is a PhD student in the Perceptual User Interfaces group since September 2020. He holds a Bachelor's degree in Intelligence Software and Technology and a Master’s degree in Computer Software and Technology from Peking University. He works now on visual attention modelling for optimization of information visualizations, which integrated to Project A07 in SFB-TRR 161.

The first research goal is acquiring large-scale humanlike attention data without eye-tracking equipment on information visualizations. He turns to crowdsourcing approaches (webcam or mouse-clicking) or gaze data synthesis by generative or cognitive models. The second research goal is to computationally model human visual behaviour (saliency map, scanpath) under different tasks (top-down) in information visualizations. The third research goal is to develop a task-driven computational model to optimize the information visualisation by maximising metrics (e.g. recallability, gaze uncertainty).

Teaching

2022
Mensch-Computer-Interaktion (Teaching Assistant)Bachelor
 
Machine Perception and Learning (Tutor)Master
2021
Mensch-Computer-Interaktion (Teaching Assistant)Bachelor

Supervision

2023
Task-driven Optimisation of Graphical Designs (HiWi Project) Weitian Wang
2022
Gaze Uncertainty Prediction and Correction on InfoVis (HiWi Project) Qian-Rong Yi
 
Visual Question Answering through Attention Modelling with Curiosity-driven Reinforcement Learning (M.Sc.) Stoyan Dimitrov*
 
Predicting Recallability from Gaze Behaviour on InfoVis (B.Sc.) Sarra Bakhchali
 
Understanding Gaze Behaviour during Question-Answering on Information Visualisations (HiWi Project) Nuo Chen
2021
VisRecall: Quantifying Information Visualisation Recallability via Question Answering (Erasmus Internship) Chuhan Jiao (Aalto University)
 
Scanpath Modeling on Information Visualisations (HiWi Project) Saiteja Malyala
 
Implementation of Analysis Toolbox for Information Visualisations (HiWi Project) Sruthi Radhakrishnan
 
Multi-view 3D Saliency (M.Sc.) Qi Dai
 
Joint Learning Model for Saliency and Scanpath Prediction (M.Sc.) Jiaqi Qin
 
QA Multi Duration Saliency Dataset Annotation on Data Visualizations by CodeCharts UI (HiWi Project) Luwei Liu
2020
Deep Learning Engineering in Saliency Modeling (HiWi Project) Wei Zhang
*Co-supervised with Ekta Sood

Open Thesis Projects

 
Multi-duration Saliency Prediction with Implicit Representation learningMaster
 
Online Crowdsourcing for Saliency Dataset Collection on VisualizationsBachelor/Master
 
Gaze Uncertainty Prediction and Correction on InfoVisBachelor/Master

Publications

  1. Scanpath Prediction on Information Visualisations

    Scanpath Prediction on Information Visualisations

    Yao Wang, Mihai Bâce, Andreas Bulling

    IEEE Transactions on Visualization and Computer Graphics (TVCG), (), pp. , 2023.

    Abstract Links BibTeX Project Oral presentation

  1. VisRecall: Quantifying Information Visualisation Recallability via Question Answering

    VisRecall: Quantifying Information Visualisation Recallability via Question Answering

    Yao Wang, Chuhan Jiao, Mihai Bâce, Andreas Bulling

    IEEE Transactions on Visualization and Computer Graphics (TVCG), 28(12), pp. 4995-5005, 2022.

    Abstract Links BibTeX Project Oral presentation

  1. Impact of Gaze Uncertainty on AOIs in Information Visualisations

    Impact of Gaze Uncertainty on AOIs in Information Visualisations

    Yao Wang, Maurice Koch, Mihai Bâce, Daniel Weiskopf, Andreas Bulling

    ETRA Workshop on Eye Tracking and Visualization (ETVIS), pp. 1–6, 2022.

    Abstract Links BibTeX Project

  1. Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images

    Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images

    Zizhuang Wei, Yao Wang, Hongwei Li, Yisong Chen, Guoping Wang

    Applied Sciences, 10(4), pp. 1275, 2020.

    Abstract Links BibTeX Project

  1. Large-Scale Structure from Motion with Semantic Constraints of Aerial Images

    Large-Scale Structure from Motion with Semantic Constraints of Aerial Images

    Yu Chen, Yao Wang, Peng Lu, Yisong Chen, Guoping Wang

    Proc. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 347-359, 2018.

    Abstract Links BibTeX Project

  2. Sobel Heuristic Kernel for Aerial Semantic Segmentation

    Sobel Heuristic Kernel for Aerial Semantic Segmentation

    Tao Hu, Yao Wang, Yisong Chen, Peng Lu, Heng Wang, Guoping Wang

    IEEE International Conference on Image Processing (ICIP), pp. 3074-3078, 2018.

    Abstract Links BibTeX Project