Lin Gao

Hello, I’m Lin Gao (Lynne, 高琳), a second-year graduate student at the School of Data Science, Fudan University (FDU). I’m a member of the FDUVIS Lab, where I work under the supervision of Prof. Siming Chen. In 2023, I got my bachelor’s degree in Data Science and Big Data Technology at Chongqing University (CQU).

My research interests lie in Data Visualization, Human-AI Interaction and Human-Data Communication. Specifically, I aim to advance intelligent education and data-driven storytelling through visualization and interaction techniques. I’m exploring research related to human-AI collaboration with large language models.

📢 News
🙋🏻‍♀️ I am actively seeking for PhD position of 25Fall!

  • 🎉 Our work about LLM-generated scientific analogies for education is conditionally accepted by CHI 2025.
  • 🥳 Awarded the Second Price in Doctoral Forum of SDS.
  • 🥳 Awarded the China National Scholarship.
  • 👩‍💻 Attend VIS 2024 online and present our work Tailor-Mind.
  • 🎉 Our work SimSpark is accepted by CSCW 2025.
  • 🛳️ Attend ChinaVis 2024 and present our work Tailor-Mind.
  • 🎉 Our work Tailor-Mind is accepted by VIS 2024.
  • 😆 Arrive in Hong Kong and start my 3-months visit to HKUST VisLab.
  • 🎉 Our work FinDecipher is accepted by ChinaVis 2024.
  • 👩‍💻 Present our work TransforLearn on the China-R Conference.
  • 🦘 Attend VIS 2023 in Melbourne and present our work TransforLearn.
  • 📚 Start my graduate study at the School of Data Science (SDS), FDU.
  • 🎉 Our work TransforLearn is accepted by VIS 2023.
  • 🎓 Graduate from CQU with a bachelor's degree.

Projects

Tailor-Mind

Propose a framework for integrating fine-tuned LLMs into domain-specific visualization systems. Tailor-Mind applies this framework in education to facilitate self-regulated learning.

Paper
TransforLearn

TransforLearn is an interactive visual tutorial tool that helps beginners learn the Transformer model through architecture-driven and task-driven explorations.

Website Paper Video
Educational Analogies

Evaluate LLM-generated analogies in biology and physics with two-phrase studies, and presents a system to help teachers generate and refine analogies.

Paper

Publications

Unlocking Scientific Concepts: How Effective Are LLM-Generated Analogies for Student Understanding and Classroom Practice?
Zekai Shao* , Siyu Yuan* , Lin Gao , Yixuan He , Deqing Yang , Siming Chen .
The ACM CHI conference on Human Factors in Computing Systems (CHI'25), 2025.
PDF arXiv
Fine‑Tuned Large Language Model for Visualization System: A Study on Self‑Regulated Learning in Education
Lin Gao , Jing Lu , Zekai Shao , Ziyue Lin , Shengbin Yue , Chokit Ieong , Yi Sun , Zhongyu Wei , Siming Chen .
IEEE Transactions on Visualization and Computer Graphics (VIS'24), 2024.
DOI PDF arXiv
SimSpark: Interactive Simulation of Social Media Behaviors
Ziyue Lin , Yi Shan , Lin Gao , Xinghua Jia , Siming Chen .
ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW'25), 2024.
TransforLearn: Interactive Visual Tutorial for the Transformer Model.
Lin Gao , Zekai Shao , Ziqin Luo , Haibo Hu , Cagatay Turkay , Siming Chen .
IEEE Transactions on Visualization and Computer Graphics (VIS'23), 2023.
DOI PDF Project Video Slides
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