Run Huang

"ruen" (/ru:n/)

I am a Ph.D. candidate in Computer Science at the University of Southern California, supported by an Annenberg Fellowship. I am fortunate to be advised by Prof. Souti Chattopadhyay. Previously, I received my B.S. in Computer Science from Fudan University.
My research focuses on Human-AI Interaction. I design intelligent interfaces that help knowledge workers (e.g., researchers, developers) make sense of and make use of complex information.
ScholarLinkedInCurriculum Vitae
Publications
*J: Journal
C: Conference
E: Extended abstract

[C.1] Beyond the Page: Enriching Academic Paper Reading with Social Media Discussions

Run Huang, Anna Katherine Zhao, Zeinabsadat Saghi, Sadra Sabouri, Souti Chattopadhyay

UIST 2025 WebsitePaper

[J.1] Factors Shaping Trust and Satisfaction with AI Medical Chatbots: A Mixed-Methods Vignette Survey of Caregivers Seeking Guidance on Pediatric Infectious Diseases

Run Huang, Joseph Cecil, Marjorie Freedman, Souti Chattopadhyay

JMIR 2026 Paper

[E.2] A Tale of Two Communities: Exploring Academic References on Stack Overflow

Run Huang, Souti Chattopadhyay

WWW 2024 WebsitePaper

[E.1] Locating CDN Edge Servers with HTTP Responses

Gold Medal in ACM Student Research Competition (1/62)

Run Huang, Mengying Zhou, Tiancheng Guo, Yang Chen

SIGCOMM 2022 Paper
Profile picture of Run Huang
Industry

  • Siemens

    Software Engineer Intern

    Developed a 3D coordinate system web component for Siemens NX CAD

  • Tencent

    Research Intern

    Worked on a multipath transport protocol for large-scale data center networks

Awards

  • Annenberg Fellowship

    2023 - Present, USC

  • ACM Student Research Competition

    First Place, SIGCOMM 2022

  • Travel Award

    UIST 2025, SIGCOMM 2022

Services

  • CHI

    Reviewer: 2026, 2027

  • UIST

    Reviewer: 2026

  • IUI

    Reviewer: 2026, 2027

Teaching

  • CSCI 571: Web Technologies

    Fall 24, Spring 26, with Prof. Marco Papa

    Designed four full-stack web (React, Node.js) and Android project assignments

  • DSCI 510: Principles of Programming for Data Science

    Fall 25, with Prof. Alexey Tregubov

    Taught weekly lab sessions on data analysis and scientific computing with Python