Sheng Long 🍊 龙晟

Hello! 👋

Photo taken by Wei Sun.

News

02/14/25     I got a summer internship offer from Sony Japan! Super excited to be learning and working in 🗼 this summer

01/20/25     Our paper, Seeing Eye to AI ?, is accepted to CHI 2025 at 🎡!

I am a Ph.D. candidate at Northwestern University, fortunate to be advised by Professor Matthew Kay at Mu Collective.

Before joining Northwestern, I was a student at William & Mary, where I majored in Computer Science and Economics.

Research

My research focuses on developing theoretical frameworks and empirical tools to better understand how people reason about and interact with abstract visual information. I had also worked on questions that involve more economics and fairness concerns previously.

My CV (last updated Jan 2025) is here.

Publications

* indicates equal contribution

• Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
  Sheng Long, Angelos Chatzimparmpas, Emma Alexamder, Matthew Kay, Jessica Hullman
  CHI’25: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (To appear)
  OSF Preprint poster
• Old Wine in a New Bottle? Analyzing Visual Lineups with Signal Detection Theory
  Sheng Long, Matthew Kay
  BELIV ’24: Evaluation and Beyond — Methodological Approaches for Visualization
  Paper OSF
• Tasks and Telephones: Threats to Experimental Validity due to Misunderstandings of Visualisation Tasks and Strategies (Position Paper)
  Abhraneel Sarma, Sheng Long, Michael Correll, Matthew Kay
  BELIV ’24: Evaluation and Beyond — Methodological Approaches for Visualization
  Paper
• To Cut or Not To Cut: A Systematic Exploration of Y-Axis Truncation
  Sheng Long, Matthew Kay
  CHI ’24: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems
  Paper OSF
• Regulation of Algorithmic Collusion
  Jason Hartline*, Sheng Long*, Chenhao Zhang*
  CSLAW ’24: Proceedings of the Symposium on Computer Science and Law
  Paper
• Screening with Disadvantaged Agents
  Hedyeh Beyhaghi*, Modibo K. Camara*, Jason Hartline*, Aleck Johnsen*, Sheng Long*
  FORC ’23: Proceedings of the 4th Symposium on Foundations of Responsible Computing
  Paper EC’22 Workshop Talk

Teaching

• CS 212 — Mathematical Foundations of Computer Science
  • (TA) 2021 Fall, 2022 Winter, 2023 Winter
• CS 332 — Online Markets
  • (TA) 2022 Fall
• CS 333 — Interactive Information Visualization
  • (TA) 2024 Winter
• CS 330 — Human Computer Interaction
  • (TA) 2024 Fall
• CS 310 — Scalable Software Architectures
  • (TA) 2025 Winter