Xuxin Tang

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Human-AI Interaction Researcher

Hello! 👋 I’m a Computer Science PhD student at Virginia Tech’s Sanghani Center for Artificial Intelligence & Data Analytics, co-advised by Prof. Chris North and Xuan Wang. Before joining Virginia Tech, I spent nearly three years in industry, starting as a full-stack development engineer before advancing to machine learning engineering where I worked on large-scale recommendation systems. I hold both B.S. and M.S. degrees from Wuhan University, where I was mentored by Prof. Zhijiang Li and Dr. Fan Zhang. Throughout my PhD and master’s studies, I’ve had the privilege of collaborating with distinguished researchers from premier institutions including MIT, Georgia Tech, Tsinghua University, City University of Hong Kong, and Adobe Research, among others.

My research explores the intersection of Visualization, Human-Computer Interaction, and Large Language Models, where I develop visual analytics and human-in-the-loop methods to design, build, and evaluate efficient, trustworthy, and transparent human-LLM collaborative systems.

Google Scholar/Twitter/LinkedIn

News

Mar 25, 2025 Our paper Imprinto is accepted by CHI 2025!
Oct 30, 2024 Exited to present my research on visual analytics and human-LLM collaboration to Bloomberg UX Research Group!
Sep 9, 2024 Our paper “Steering LLM Summarization with Visual Workspaces for Sensemaking” accepted to IEEE NLVIZ Workshop 2024.
Apr 12, 2024 Passed my PhD qualifier exam.
Jun 6, 2023 Visited HCIE Group at CSAIL, MIT as a visiting PhD student, working with Prof. Stefanie Mueller, Mustafa Doga Dogan, and Martin Feick. Fun work coming soon!

Selected Publications

2025

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    Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception.
    Martin Feick, Xuxin Tang, Raul Garcia-Martin, and 5 more authors
    CHI 2025, 2025

2024

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    Steering LLM Summarization with Visual Workspaces for Sensemaking
    Xuxin Tang, Eric Krokos, Can Liu, and 4 more authors
    IEEE VIS NLVIZ Workshop 2024, 2024