Yu Fu | homepage

📢 News
I have joined the University of Central Florida (UCF) as a tenure-track Assistant Professor in Computer Science.

I am actively recruiting self-motivated PhD students to join my lab starting Spring 2026. If you are interested in data visualization, technical HCI, or data-driven storytelling, please don’t hesitate to reach out!

I recently completed my PhD in the Human-Centered Computing (HCC) program at Georgia Tech, where I was a member of the Information Interfaces Research Group , part of the broader Georgia Tech Visualization Lab . My PhD advisor was Dr. John Stasko . Before pursuing my PhD, I worked as a sports journalist and analyst after earning a Master's degree in Electrical Engineering.

Research Overview

My overarching research goal is to democratize data practices, encompassing data analysis, communication, and consumption. I pursue these interconnected objectives through a human-centric lens, leveraging the analytical power and aesthetic expressiveness of data visualization to reach, engage, and inform broader audiences.
My research spans information visualization, data science, human-computer interaction, and data journalism, with a focus on three key dimensions: (1) Designing analytical interfaces that utilize interactive visualizations to support data exploration, enabling users to derive actionable insights across diverse domains; (2) Developing authoring tools powered by Generative AI to simplify the creation of engaging and accurate data-driven content (e.g., visual data stories) by lowering technical barriers and enhancing expressiveness; and (3) Countering data-driven misinformation by examining how flawed data narratives and visuals can mislead audiences, and designing strategies, techniques, and tools to mitigate these challenges.

Publications

Full Papers

DATAWEAVER: Authoring Data-Driven Narratives through the Integrated Composition of Visualization and Text | EuroVis'25
Yu Fu, Daniel Bromley, Vidya Setlur
Computer Graphics Forum (Proc. EuroVis 2025). DOI: 10.1111/cgf.70098
Paper Link
"The Data Says Otherwise" -- Towards Automated Fact-checking and Communication of Data Claims | ACM UIST'24
Yu Fu, Shunan Guo, Jane Hoffswell, Victor S. Bursztyn, Ryan Rossi, John Stasko
Proceedings of the 37th ACM Symposium on User Interface Software and Technology (UIST '24), Article 134, 1–20.
Paper Link
HoopInSight: Analyzing and Comparing Basketball Shooting Performance Through Visualization | IEEE VIS'23
Yu Fu, John Stasko
IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 1, pp. 858–868, Jan. 2024. Paper presented at IEEE VIS'23.
Paper Link Video
More Than Data Stories: Broadening the Role of Visualization in Contemporary Journalism | IEEE TVCG
Yu Fu, John Stasko
IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 8, pp. 5240–5259, Aug. 2024.
Paper Link
Supporting Data-Driven Basketball Journalism through Interactive Visualization | ACM CHI'22
Yu Fu, John Stasko
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22), ACM, Article 598, pp. 1–17.
Paper Link Video

Short Papers and Posters

Managing Project Teams in an Online Class of 1000+ Students | ACM SIGCSE 2025
Nazanin Tabatabaei Anaraki, Taneisha Ng, Gaurav Verma, Yu Fu, Martin Oconnell, Matthew Hull, Susanta Routray, Mahdi Roozbahani, Duen Horng Chau
Understanding the Effects of Visualizing Missing Values on Visual Data Exploration | IEEE VIS'21
Hayeong Song, Yu Fu, Bahador Saket, John Stasko
2021 IEEE Visualization Conference (VIS), pp. 161–165.
Paper
HoopPad: A Controlled Defense Simulation with Masking Prompt | CASSIS 2024
Xing Wang, Konstantinos Pelechrinis, Yu Fu, Chunyang Huang, Jianchong Shao, Zitian Tang, Miguel Gomez, Shaoliang Zhang

Experience

Georgia Tech

Graduate Research/Teaching Assistant | Atlanta, GA | Aug. 2020 – Present

Tableau Research

Research Intern | Seattle, WA | May 2024 – Aug. 2024

Adobe Research

Research Scientist/Engineer Intern | San Jose, CA | May 2023 – Aug. 2023

Tencent and Titan Sports

NBA Journalist/Basketball Data Analyst | Washington, D.C., & Houston, TX | Sep. 2015 – Aug. 2020

Teaching

I am committed to fostering a dynamic and inclusive learning environment, where students gain both theoretical knowledge and practical skills in data visualization, human-computer interaction, and data analytics.