About me
I am currently pursuing my Ph.D. degree at the School of Information Science and Technology, ShanghaiTech University. I am lucky to be advised by Prof. Quan Li.
My research interests include high‑dimensional data visualization, eXplainable Artificial Intelligence (XAI), and visual analytics. My research goal is to support people in understanding high‑dimensional data and machine learning models by developing scalable visual interfaces and interpretable techniques.
Publications
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Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning
IEEE VIS 2023
Yang Ouyang, Yuchen Wu, He Wang, Chenyang Zhang, Furui Cheng, Chang Jiang, Lixia Jin, Yuanwu Cao, Quan Li
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Towards Better Modeling With Missing Data: A Contrastive Learning-Based Visual Analytics Perspective
IEEE TVCG 2023
Laixin Xie, Yang Ouyang, Longfei Chen, Ziming Wu, Quan Li
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FSLens: A Visual Analytics Approach to Evaluating and Optimizing the Spatial Layout of Fire Stations
IEEE VIS 2023
Longfei Chen, He Wang, Yang Ouyang, Yang Zhou, Naiyu Wang, Quan Li
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RISeer: Inspecting the Status and Dynamics of Regional Industrial Structure via Visual Analytics
IEEE VIS 2022
Longfei Chen*, Yang Ouyang*, Haipeng Zhang, Suting Hong, Quan Li (*The authors contribute equally)
Internships
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- [2023.05 - 2023.12] Research Intern. (Supervised by Yun Wang)
- Microsoft Research Asia, Beijing, China.
- [2019.08 - 2020.06] Research Intern.
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China.
Services
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- Teaching Assistant [2022‑2023 Fall]
- Human-Computer Interaction
- Volunteer [2021]
- School Open Day
