publications

2026

  1. The value of information in human-ai decision-making
    Ziyang Guo, Yifan Wu, Jason Hartline, and Jessica Hullman
    In The Fourteenth International Conference on Learning Representations , 2026
  2. Explanations are a means to an end
    Ziyang Guo, Berk Ustun, and Jessica Hullman
    arXiv preprint arXiv:2506.22740, 2026

2024

  1. A Decision Theoretic Framework for Measuring AI Reliance
    Ziyang Guo, Yifan Wu, Jason Hartline, and Jessica Hullman
    ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT ’24), 2024
  2. Vmc: A grammar for visualizing statistical model checks
    Ziyang Guo, Alex Kale, Matthew Kay, and Jessica Hullman
    IEEE Transactions on Visualization and Computer Graphics, 2024

2023

  1. The Rational Agent Benchmark for Data Visualization
    Yifan Wu, Ziyang Guo, Michails Mamakos, Jason Hartline, and Jessica Hullman
    IEEE Transactions on Visualization and Computer Graphics, 2023
  2. EVM: Incorporating Model Checking into Exploratory Visual Analysis
    Alex Kale, Ziyang Guo, Xiaoli Qiao, Jeffrey Heer, and Jessica Hullman
    IEEE Transactions on Visualization and Computer Graphics, 2023

2022

  1. RASIPAM: Interactive Pattern Mining of Multivariate Event Sequences in Racket Sports
    Jiang Wu, Dongyu Liu, Ziyang Guo, and Yingcai Wu
    IEEE Transactions on Visualization and Computer Graphics, 2022

2021

  1. TacticFlow: Visual analytics of ever-changing tactics in racket sports
    Jiang Wu, Dongyu Liu, Ziyang Guo, Qingyang Xu, and Yingcai Wu
    IEEE Transactions on Visualization and Computer Graphics, 2021

2020

  1. Visual analytics of multivariate event sequence data in racquet sports
    Jiang Wu, Ziyang Guo, Zuobin Wang, Qingyang Xu, and Yingcai Wu
    In 2020 IEEE conference on visual analytics science and technology (VAST) , 2020