Xuxin Tang

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Human-AI Collaboration 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. My research explores the intersection of Human-AI Collaboration 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.

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.

I am actively seeking a Summer 2026 internship where I can apply my expertise in human-AI collaborative systems and human-AI alignment. I am eager to contribute to a research-driven team tackling complex challenges at the frontier of human-AI interaction. If your organization is innovating in this space, I would be delighted to connect and discuss how my skills can bring value.

Google Scholar/Twitter/LinkedIn

News

Sep 29, 2025 Our paper on AI Fairness is officially accepted by IEEE JBHI 2025! Check out our work: Link
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.

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