Hello! I am Yuheng Zhao (่ตตๅฎๆ). I received my Ph.D. in Statistics from the School of Data Science at Fudan University, supervised by Prof. Siming Chen in FDUVIS Lab. I was also a visiting PhD student at the University of Edinburgh, supervised by Prof. Benjamin Bach in VisHub. I also completed a research internship advised by Dr. Yu Zhang.
My research focuses on LLM-driven intelligent visual analytics, human-AI collaboration, and human-computer interaction. I combine methods from visualization, artificial intelligence, and human-computer interaction to build intelligent interfaces that help people understand complex data and coordinate with AI agents.
๐ฌ News
๐ฉ๐ปโ๐ป I will join ELLIS Institute Finland & Computational Behavior Lab in Aalto University.
๐ Our paper ProactiveVA and SceneLoom have been accepted to IEEE VIS '25. Also, KinemaFX has been accepted to ACM UIST '25!
๐ Two papers are accepted to PacificVis 2025, with one receiving the ๐ Best Paper Honorable Mention!
๐ Our paper "LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution" has been accepted to IEEE TVCG 2024 โ looking forward to sharing more soon!
๐ Our paper "LEVA: Using Large Language Models to Enhance Visual Analytics" has been accepted to IEEE TVCG 2024.
๐ฉ๐ปโ๐ป Wrapped up an research internship at Huawei (2012 Lab) โ grateful for the opportunity and mentorship.
๐ Our paper "OldVisOnline: Curating a Dataset of Historical Visualizations" has been accepted to IEEE VIS 2023 โ excited to contribute to historical visualization research!
๐ Our paper "ContextWing: Pair-wise Visual Comparison for Evolving Sequential Patterns of Contexts in Social Media Data Streams" has been accepted to CSCW 2023.
Publications
(selected)* denoted equal contribution
LEVA: Using Large Language Models to Enhance Visual Analytics
TVCG
IEEE Transactions on Visualization and Computer Graphics, 2024
ESI Highly Cited (top 1%)
