Scholar
Zekai Shao
Google Scholar ID: XA4gczYAAAAJ
Fudan University
Citations & Impact
Citations
664
H-index
6
i10-index
6
Publications
11
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- - Paper 'Do Language Model Agents Align with Humans in Rating Visualizations? An Empirical Study' accepted by IEEE CG&A
- - Paper 'Unlocking Scientific Concepts: How Effective Are LLM-Generated Analogies for Student Understanding and Classroom Practice?' accepted to CHI 2025
- - Paper 'Narrative Player: Reviving Data Narratives with Visuals' accepted by IEEE TVCG
- - Paper 'ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset' accepted to IEEE PacificVis 2025 (TVCG track)
- - Paper 'Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education' accepted to IEEE VIS 2024
- - Received 'Analysis-Driven Interaction Design' award at 2024 IEEE VAST Challenge
- - Multiple papers published or presented at international conferences
Research Experience
- - Completed internship at Microsoft Research Asia and officially started Ph.D. journey in 2023.09
- - Involved in multiple research projects and published papers
Education
- - Ph.D. Candidate, School of Data Science, Fudan University, Advisor: Prof. Siming Chen, Since 2022.09
- - Bachelor's Degree, Intelligent Science and Technology (Honored Class), Fudan University, Graduated 2023.06
- - Internship: Microsoft Research Asia, Advisors: Dr. Yun Wang and Haidong Zhang, Ended 2023.09
Background
- - Research Interests: Intersection of visualization, data science, artificial intelligence, and human-computer interaction
- - Current Focus: Visualization evaluation and storytelling powered by large models, as well as domain-specific visual analytics and general visual analytics frameworks
Miscellany
- - Email: gemini25szk@gmail.com
- - Honors: Awarded the China National Scholarship in 2023
