<aside> 👋 I'm a 4th-year Ph.D. student at ZJUIDG, Zhejiang University, under the supervision of Prof. Yingcai Wu and Dr. Weiwei Cui. I got my bachelor’s degree from the CKC honors college, Zhejiang University, in 2020. I am an intern at DKI, MSRA from 2021 to 2023. Currently, I focus on exploring causality visualization and scrollytelling authoring.

</aside>

👾 github.com/evenlasting

📧 [email protected]

Publications

Causality-Based Visual Analysis of Questionnaire Responses

Renzhong Li, Weiwei Cui, Tianqi Song, Xiao Xie, Rui Ding, Yun Wang, Haidong Zhang, Hong Zhou, and Yingcai Wu

VIS 2023 [paper] [code]

Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design

Jiayi Zhou, Renzhong Li, Junxiu Tang, Tan Tang, Haotian Li, Weiwei Cui, Yingcai Wu

CHI 2024 (conditionally accepted) [paper]

PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning

Tan Tang, Renzhong Li, Xinke Wu, Shuhan Liu, Johannes Knittel, Steffen Koch, Thomas Ertl, Lingyun Yu, Peiran Ren, and Yingcai Wu

VIS 2021 [paper] [code]

About Causality

What I believe:

• Causal relationships cannot be derived from observed data; causality can only be obtained from intervention data.
• Why does causal analysis require human-computer interaction?
  • Inability to collect intervention data.
  • Analysts can use expert knowledge to conduct hypothetical intervention experiments in their minds, thereby obtaining fictitious intervention data.
• The task of visualization/human-computer interaction is to assist experts in using observed data for mental hypothetical interventions.