Scholar
Sheng Long
Google Scholar ID: hO1RX1sAAAAJ
Ph.D. Candidate, Northwestern University
Citations & Impact
Citations
36
H-index
3
i10-index
1
Publications
6
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization' (CHI’25), 'Old Wine in a New Bottle? Analyzing Visual Lineups with Signal Detection Theory' (BELIV ’24), etc.
Research Experience
- Worked at Mu Collective lab; involved in multiple research projects such as Seeing Eye to AI, Old Wine in a New Bottle? Analyzing Visual Lineups with Signal Detection Theory, etc.
Education
- Ph.D. candidate at Northwestern University, advised by Professor Matthew Kay; Bachelor's in Computer Science and Economics from William & Mary.
Background
- Research interests include developing theoretical frameworks and empirical tools to better understand how people reason about and interact with abstract visual information. Previously studied Computer Science and Economics at William & Mary.
Miscellany
- Photo taken by Wei Sun; on the job market, seeking full-time roles to tackle data-driven problems and help build the future of human-AI collaboration.
