Xuxin Tang

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Human-AI Interaction Researcher

(How to pronouce my first name: “Sheshin”.)

Hello! 👋 I’m a Computer Science PhD student at Virginia Tech’s Sanghani Center for Artificial Intelligence & Data Analytics, advised by Prof. Chris North. I design and implement human-AI collaborative systems using state-of-the-art LLM and agentic frameworks. I bridge the gap between AI reasoning and human oversight by architecting intuitive visual interfaces that prioritize system transparency, generalizability, and operational efficiency. My unique background in large-scale recommendation systems allows me to transition abstract cognitive frameworks into reliable, real-world applications.

My research explores the intersection of human-AI interaction and spatial computing, using spatial environments like Miro to establish a common ground for collaborative sensemaking. What sets my work apart is a rare combination of rigorous HCI methodologies (sensemaking frameworks, spatial cognition, user studies, visual analytics) and robust technical execution (data analytics, scalable AI pipelines, and production software development). I don’t just design human-centered concepts—I build high-performance interactive architectures from the ground up and empirically evaluate their cognitive impact.

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.Eng. and M.S. degrees from Wuhan University.

I am actively seeking full-time Postdoctoral Researcher positions focusing on human-AI interaction and agentic systems. Please feel free to reach out if you are interested in my background and research!

Google Scholar/Twitter/LinkedIn

News

Oct 22, 2026 We are excited to announce the acceptance of our paper, “Space-to-Report: Transforming Spatial Layouts into Narrative Reports for Fluid Iterative Sensemaking,” in ACM TIST 🎉. The complete paper and the ReSPIRE system will be released soon.
Aug 2, 2026 Our paper CriterionSI has been accepted by IEEE VIS 2026! Explore our work and code.
Mar 2, 2026 Our paper on Semantic Prompting framework and agentic S-PRISM system is accepted by ACM AVI 2026! You can explore the system here: Link.
Jun 17, 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 🎉!

Selected Publications

2026

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    Space-to-Report: Transforming Spatial Layouts into Narrative Reports for Fluid Iterative Sensemaking
    Xuxin Tang, Eric Krokos, Kirsten Whitley, Xuan Wang, and Chris North
    ACM Transactions on Interactive Intelligent Systems (TIST), 2026
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    Drag, Infer, Reproject: Grounding LLMs through Spatial Interaction for Image Clustering
    Liu Yang, Xuxin Tang, Jiahao Xu, and Chris North
    IEEE Visualization (VIS), 2026
    PDF
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    Semantic Prompting: Agentic Incremental Narrative Refinement through Spatial Semantic Interaction
    Xuxin Tang, Ibrahim Tahmid, Eric Krokos, Kirsten Whitley, Xuan Wang, and Chris North
    ACM Conference on Artificial Intelligence and Virtual Interaction (AVI), 2026
    PDF Demo Video

2025

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    Enhancing Fairness and Accuracy in Diagnosing Type 2 Diabetes in Young Population
    Tanmoy Sarkar Pias, Yiqi Su, Xuxin Tang, Haohui Wang, Shahriar Faghani, and Danfeng Yao
    IEEE Journal of Biomedical and Health Informatics (JBHI), 2025
    HTML
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    Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception.
    Martin Feick, Xuxin Tang, Raul Garcia-Martin, Alexandru Luchianov, Roderick Wei Xiao Huang, Chang Xiao, Alexa Siu, and Mustafa Doga Dogan
    ACM Conference on Human Factors in Computing Systems (CHI), 2025
    HTML PDF

2024

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    Steering LLM Summarization with Visual Workspaces for Sensemaking
    Xuxin Tang, Eric Krokos, Can Liu, Kylie Davidson, Kirsten Whitley, Naren Ramakrishnan, and Chris North
    IEEE Visualization (VIS) NLVIZ Workshop, 2024
    PDF

2019

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    Quantifying cloud elasticity with container-based autoscaling
    Fan Zhang, Xuxin Tang, Xiu Li, Samee U Khan, and Zhijiang Li
    Future Generation Computer Systems, 2019
    PDF

2017

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    Quantifying Cloud Elasticity with Container-Based Autoscaling
    Xuxin Tang, Fan Zhang, Xiu Li, Samee U. Khan, and Zhijiang Li
    15th Intl Conf on Pervasive Intelligence and Computing (PICom 2017), 2017
    PDF