Sheng Long 🍊 龙晟

Hello! 👋

Photo taken by Wei Sun.

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

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

Research

I am interested in developing both theoretical frameworks and practical tools for the robust evaluation of information visualization. I had also worked on questions that involve more economics and fairness concerns previously.

My CV (last updated Oct 2024) is here.

Publications

* indicates equal contribution
  • 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 (To appear)
    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 (To appear)
    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