Lin Gao (Lynne, 高琳)
Last updated in . Get the latest version at www.domoritz.de/cv.
Second-year graduate student at FDU.
Address: 220 Handan Road, Shanghai, China.
Education
School of Data Science. Advised by Prof. Siming Chen.
Member of the FDUVIS Lab.
Advised by Prof. Haibo Hu.
GPA:3.85/4.00 (Top 3%). Outstanding Undergraduate Student.
Experience
Advised by Prof. Huamin Qu.
Awards
Thesis: Interactive Visual Tutorial of the Transformer Model for Non-experts
Focused on visual analysis methods for high-dimensional time-series atmospheric pollution
Focused on visual analysis for criminal network assets
Focused on a visual analysis system for the spatiotemporal distribution and transmission patterns of atmospheric pollution
Publications
Journal
Conference
Skills
Language: IELTS 7(6), CET-6 563, CET-4 583
Programming Skills: Python, Pytorch, JavaScript, Vue.js, D3.js, Echarts.js, Latex
Design Skills: Figma, Adobe Photoshop, Adobe Illustrator, Adobe Lightroom
Services
Presentations/Talks: VIS (2023, 2024), ChinaVis (2022, 2024), China-R (2023)
Conference Reviewer: PacificVis (2024), ChinaVis (2024)
Volunteer: ChinaVis (2024)