RECENT NEWS

🎉2024.08: Our work received the 'Analysis-Driven Interaction Design' award at the 2024 IEEE VAST Challenge.

🎉2024.07: Our paper "Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education" was accepted by IEEE VIS 2024

🎤2024.04: Presented our paper ADVA in IEEE PacificVis 2024 @ Tokyo.

🎓2024.03: Passed the Ph.D. qualifying exam.

🎉2024.01: Our paper "Interpreting Autonomous Driving Corner Cases: A Visual Analytics Approach" was accepted by PacificVis

🎉2024.01: Our paper "LEVA: Using Large Language Models to Enhance Visual Analytics" was accepted by TVCG

🎤2023.11: Served as the Session Chair for the AI+VIS Session @ China-R Conference.

🎤2023.10: Presented our paper VEQA and served as a Student Volunteer in IEEE VIS 2023 @ Melbourne.

🎉2023.10: Awarded the China National Scholarship.

🎓2023.09: Finished my internship at MSRA and officially started my Ph.D journey.

🎉2023.07: TransforLearn was accepted by IEEE VIS 2023. Learn Transformer models with it~

🎓2023.06: Obtained my bachelor's degree from Fudan University and awarded Outstanding Graduate of FDU.

🎉2023.03: A preprint about capability analysis of GPT-series models was released on Arxiv.

🎉2023.03: VEQA was published on IEEE TVCG and I will present it in IEEE VIS 2023 @ Melbourne~

🎓2022.09: Selected into Fudan Elite Ph.D Program, and started my early doctoral life.

Hi there! I am Zekai Shao, a Ph.D candidate in the School of Data Science at Fudan University (FDU), supervised by Prof. Siming Chen and associated with FDU-VIS. I received my bachelor’s degree with honor from Intelligent Science and Technology (Honored Class) in the School of Information and Science Technology at FDU in the summer of 2023. Additionally, I’m honored to intern at MSRA advised by Dr. Yun Wang and Haidong Zhang.

My research interest lies at the intersection of visualization, data science, artificial intelligence, and human-computer interaction. Currently, my primary focus has been on visualization evaluation and storytelling powered by large models. I also have delved into domain-specific visual analytics and general visual analytics frameworks.

If you are interested in my research, please feel free to contact me via gemini25szk@gmail.com.

📖 Publications

arXiv 2024
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Narrative Player: Reviving Data Narratives with Visuals

Zekai Shao, Leixian Shen, Haotian Li, Yi Shan, Huamin Qu, Yun Wang, Siming Chen

arXiv, 2024, Preprint.

PDF arXiv Website
VIS 2024
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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 (Proc. IEEE VIS’24), 2025.

PDF DOI arXiv
PacificVis 2024
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Interpreting Autonomous Driving Corner Cases: A Visual Analytics Approach

Yi Sun, Zekai Shao, Xingyu Qiu, Yun Li, Ting Liu, Linbing Xiang, Dong Sun, Siming Chen

IEEE 17th Pacific Visualization Conference (PacificVis 2024).

PDF DOI
TVCG 2024
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LEVA: Using Large Language Models to Enhance Visual Analytics

Yuheng Zhao, Yixing Zhang, Yu Zhang, Xinyi Zhao, Junjie Wang, Zekai Shao, Cagatay Turkay, Siming Chen

IEEE Transactions on Visualization and Computer Graphics 2024.

PDF DOI arXiv
VIS 2023
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TransforLearn: Interactive Visual Tutorial for the Transformer Model

Lin Gao, Zekai Shao, Ziqin Luo, Haibo Hu, Cagatay Turkay and Siming Chen

IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS’23), 2024.

PDF DOI
TVCG 2023
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Visual Explanation for Open-domain Question Answering with BERT

Zekai Shao, Shuran Sun, Yuheng Zhao, Siyuan Wang, Zhongyu Wei, Tao Gui, Cagatay Turkay, Siming Chen

IEEE Transactions on Visualization and Computer Graphics, 2023.

PDF DOI
arXiv 2023
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A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, et al.

arXiv, 2023, Preprint.

PDF arXiv

🎓 Experience

Education

  • 2023.09 - now, School of Data Science, Fudan University (FDU).

    Ph.D in Statistics-Machine Learning Track (Elite Ph.D Program of FDU)    Advisor: Siming Chen

  • 2019.09 - 2023.06, School of Information Science and Technology, Fudan University (FDU).

    Bachelor in Intelligent Science and Technology (Hornored Class)    Advisor: Siming Chen

Visiting

  • 2022.11 - 2023.09, Microsoft Research Asia (MSRA).

    Research Intern in DKI (Data, Knowledge, and Intelligence) Group    Advisor: Yun Wang and Haidong Zhang

🏆 Selected Awards

  • Award of “Analysis-Driven Interaction Design” in IEEE VAST Challenge. 2024
  • China National Scholarship. 2023
  • Outstanding Graduate of FDU. 2023
  • Second Price in Doctoral Forum of SDS，FDU. 2022
  • Scholarship for Elite Ph.D. Program of FDU. Begin from 2022.
  • Outstanding Innovation Award of SIST, FDU. 2022
  • National Second Prize in China Undergraduate Mathematical Contest in Modeling (CUMCM). 2020
  • Outstanding Student Scholarship of FDU. 2020, 2021, 2022
  • Outstanding Student and Outstanding League Member of FDU. 2020, 2021, 2022
  • First-class Scholarship for Freshmen of FDU. 2019

🤝 Service

  • Session Chair: China-R Conference (AI+VIS Session) 2023
  • Journal Reviewer: Visual Informatics
  • Conference Reviewer: CHI 2024-2025, IUI 2025, PacificVis 2024, ChinaVis 2023-2024,
  • Conference Volunteer: IEEE VIS 2023
  • Teaching Assistant: Image Processing and Data Visualization (honored course) 2023 Fall, Approaching Artificial Intelligence 2024 Fall